... One possible answer is that occlusions within the cranial vault (such as in IIH) are subject ... more ... One possible answer is that occlusions within the cranial vault (such as in IIH) are subject to theMonroe–Kellie doctrine and that bilat-eral transverse sinus stenosis with elevated venous pressures in the IIH patient result in poor CSF ... Dawson EA, Secher NH, Dalsgaard MK, et al ...
On behalf of the editorial team, welcome to the European Journal of Chemistry (Eur J Chem). This ... more On behalf of the editorial team, welcome to the European Journal of Chemistry (Eur J Chem). This journal was a recently established, publishing original research artilces, reviews and technical notes on the topics of Analytical Chemistry, Inorganic Chemistry, Organic ...
Entropy‐constrained predictive residual vector quantization. [Optical Engineering 35, 187 (1996)]... more Entropy‐constrained predictive residual vector quantization. [Optical Engineering 35, 187 (1996)]. Syed A. Rizvi, Nasser M. Nasrabadi, Lin‐Cheng Wang. Abstract. A major problem with a vector‐quantization‐based image compression scheme is its codebook search complexity. ...
The finite-state vector quantization scheme called dynamic finite-state vector quantization (DFSV... more The finite-state vector quantization scheme called dynamic finite-state vector quantization (DFSVQ) is investigated with regard to its subcodebook construction. In the DFSVQ, each input block is encoded by a small codebook called the subcodebook which is created from a much larger codebook called supercodebook. Each subcodebook is constructed by selecting, using a reordering procedure, a set of appropriate code-vectors from the supercodebook. The performance of the DFSVQ depends on this reordering procedure; therefore, several reordering procedures are introduced and their performance are evaluated. The reordering procedures investigated, are based on the conditional histogram of the code-vectors, index prediction, vector prediction, nearest neighbor design, and the frequency usage of the code-vectors. The performance of the reordering procedures are evaluated by comparing their hit ratios (the number of blocks encoded by the subcodebook) and their computational complexity. Experimental results are presented and it is found that the reordering procedure based on the vector prediction performs the best when compared with the other reordering procedures.
Predictive vector quantization using neural networks. [Proceedings of SPIE 3030, 14 (1997)]. Mahm... more Predictive vector quantization using neural networks. [Proceedings of SPIE 3030, 14 (1997)]. Mahmoud R. Hashemi, Tet H. Yeap, Sethuraman Panchanathan. Abstract. In this paper we propose a new scalable predictive vector ...
Entropy‐constrained predictive residual vector quantization. [Optical Engineering 35, 187 (1996)]... more Entropy‐constrained predictive residual vector quantization. [Optical Engineering 35, 187 (1996)]. Syed A. Rizvi, Nasser M. Nasrabadi, Lin‐Cheng Wang. Abstract. A major problem with a vector‐quantization‐based image compression scheme is its codebook search complexity. ...
Audio- and Video-Based Biometric Person Authentication, 1997
Two of the most critical requirements in support of producing reliable face-recognition systems a... more Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. In this paper, we report on the FERET database and the September 1996 FERET test. This test is the third in a series of supervised face-recognition test administered under the FERET program.
Gibbs-determined areas of &am... more Gibbs-determined areas of >60 A(2)/molecule for many common surfactants cause rather small surface tension reductions when measured on a Langmuir film balance. This is inconsistent with an air/water interface being saturated throughout the steep linear decline in plots of surface tension versus ln [surfactant]. In support for a gradually populating interface in the linear region, we have found that sodium docosanyl sulfate lowers the surface tension by only 7 mN/m when compressed to 50 A(2)/molecule. When docosanyltrimethylmmonium bromide is compressed to 65 A(2)/molecule, the surface tension is lowered about 15 mN/m as compared to a 30-40 mN/m drop occurring within the range of typical Gibbs analysis. Saturation of the interface is often obscured by competitive micelle formation that levels the surface tension versus ln [surfactant] plot before saturation has a chance to do so.
The Jafurah sand sea of the Eastern Province of Saudi Arabia extends along the Arabian Gulf coast... more The Jafurah sand sea of the Eastern Province of Saudi Arabia extends along the Arabian Gulf coastline from Kuwait in the north to the Rub Al Khali in the south, a distance of about 800 km. Sand drifts southward to south-eastward from regions of high wind energy in the north to low wind energy in the south.The aeolian landscape is zoned, with areas of deflation, transport and deposition from north to south. Drift rates in the zone of transport, near Abqaiq, range from 2 m3 m-w-1 yr-1 on sabkhas, to 29 m3 m-w-1 yr-1 on the crests of dunes. Average drift rates of approximately 18 m3 m-w-1 yr-1 observed during the study can cause about 1 m of accumulation per 5500 yr in a 100 km zone of deposition downwind, not including the bulk transport represented by the forward advance of dunes. Dune advance ranged from 23 m (2.9 m high dune) to 3 m (23 m high dune) during April-October 1980.The study area consists of dune, interdune, sand sheet and siliciclastic sabkha terrains, each of which is characterized by differing drift rates, and differing rates of erosion or deposition. Sedimentation occurs by lateral movement of dunes and interdunes, and vertical accretion by sand sheets and sabkhas.
Removing entrapped pacing and defibrillator leads has been greatly simplified by making use of th... more Removing entrapped pacing and defibrillator leads has been greatly simplified by making use of the excimer laser extractor. Sixty-two leads were successfully removed, although where appropriate, portions of the lead remained in place in 10 cases. There were two serious complications, one tear of the superior vena cava during an ICD extraction and one tear of the atrium during an atrial lead extraction. Both were controlled successfully through emergency sternotomy. Although extracting entrapped leads has been much simplified by making use of the laser extractor, the process is not free of serious complications. Those involved in explanting leads should be aware of the outcomes and be prepared for emergent management.
International Conference on Image Processing, 1999
The preprocessing stage of an automatic target recognition system extracts areas containing poten... more The preprocessing stage of an automatic target recognition system extracts areas containing potential targets from a battlefield scene. These potential target images are then sent to the classification stage to identify the targets. It is highly desirable at the preprocessing stage to minimize the incorrect rejection rate. This, however, results in a high false alarm rate. The high false alarm rate, in turn, makes subsequent target classification decisions unreliable. We present a new technique to reject false alarms (clutter images) produced by the preprocessing stage. Our technique, which we call region-based principal component analysis (PCA), uses topological features of the targets to reject false alarms. In this technique a potential target is divided into several regions and a PCA is performed on each region to extract regional feature vectors. We propose to use regional feature vectors of arbitrary shapes and dimensions that are optimized for the topology of a target in a particular region. These regional feature vectors are then used by a two-class classifier based on the learning vector quantization to decide whether a potential target is a false alarm or a real target
The performance of a classical linear vector predictor is limited by its ability to exploit only ... more The performance of a classical linear vector predictor is limited by its ability to exploit only the linear correlation between the blocks. However, a nonlinear predictor exploits the higher order correlations among the neighboring blocks, and can predict edge blocks with increased accuracy. We have investigated several neural network architectures that can be used to implement a nonlinear vector predictor, including the multilayer perceptron (MLP), the functional link (FL) network, and the radial basis function (RBF) network. Our experimental results show that a neural network predictor can predict the blocks containing edges with a higher accuracy than a linear predictor.
... One possible answer is that occlusions within the cranial vault (such as in IIH) are subject ... more ... One possible answer is that occlusions within the cranial vault (such as in IIH) are subject to theMonroe–Kellie doctrine and that bilat-eral transverse sinus stenosis with elevated venous pressures in the IIH patient result in poor CSF ... Dawson EA, Secher NH, Dalsgaard MK, et al ...
On behalf of the editorial team, welcome to the European Journal of Chemistry (Eur J Chem). This ... more On behalf of the editorial team, welcome to the European Journal of Chemistry (Eur J Chem). This journal was a recently established, publishing original research artilces, reviews and technical notes on the topics of Analytical Chemistry, Inorganic Chemistry, Organic ...
Entropy‐constrained predictive residual vector quantization. [Optical Engineering 35, 187 (1996)]... more Entropy‐constrained predictive residual vector quantization. [Optical Engineering 35, 187 (1996)]. Syed A. Rizvi, Nasser M. Nasrabadi, Lin‐Cheng Wang. Abstract. A major problem with a vector‐quantization‐based image compression scheme is its codebook search complexity. ...
The finite-state vector quantization scheme called dynamic finite-state vector quantization (DFSV... more The finite-state vector quantization scheme called dynamic finite-state vector quantization (DFSVQ) is investigated with regard to its subcodebook construction. In the DFSVQ, each input block is encoded by a small codebook called the subcodebook which is created from a much larger codebook called supercodebook. Each subcodebook is constructed by selecting, using a reordering procedure, a set of appropriate code-vectors from the supercodebook. The performance of the DFSVQ depends on this reordering procedure; therefore, several reordering procedures are introduced and their performance are evaluated. The reordering procedures investigated, are based on the conditional histogram of the code-vectors, index prediction, vector prediction, nearest neighbor design, and the frequency usage of the code-vectors. The performance of the reordering procedures are evaluated by comparing their hit ratios (the number of blocks encoded by the subcodebook) and their computational complexity. Experimental results are presented and it is found that the reordering procedure based on the vector prediction performs the best when compared with the other reordering procedures.
Predictive vector quantization using neural networks. [Proceedings of SPIE 3030, 14 (1997)]. Mahm... more Predictive vector quantization using neural networks. [Proceedings of SPIE 3030, 14 (1997)]. Mahmoud R. Hashemi, Tet H. Yeap, Sethuraman Panchanathan. Abstract. In this paper we propose a new scalable predictive vector ...
Entropy‐constrained predictive residual vector quantization. [Optical Engineering 35, 187 (1996)]... more Entropy‐constrained predictive residual vector quantization. [Optical Engineering 35, 187 (1996)]. Syed A. Rizvi, Nasser M. Nasrabadi, Lin‐Cheng Wang. Abstract. A major problem with a vector‐quantization‐based image compression scheme is its codebook search complexity. ...
Audio- and Video-Based Biometric Person Authentication, 1997
Two of the most critical requirements in support of producing reliable face-recognition systems a... more Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. In this paper, we report on the FERET database and the September 1996 FERET test. This test is the third in a series of supervised face-recognition test administered under the FERET program.
Gibbs-determined areas of &am... more Gibbs-determined areas of >60 A(2)/molecule for many common surfactants cause rather small surface tension reductions when measured on a Langmuir film balance. This is inconsistent with an air/water interface being saturated throughout the steep linear decline in plots of surface tension versus ln [surfactant]. In support for a gradually populating interface in the linear region, we have found that sodium docosanyl sulfate lowers the surface tension by only 7 mN/m when compressed to 50 A(2)/molecule. When docosanyltrimethylmmonium bromide is compressed to 65 A(2)/molecule, the surface tension is lowered about 15 mN/m as compared to a 30-40 mN/m drop occurring within the range of typical Gibbs analysis. Saturation of the interface is often obscured by competitive micelle formation that levels the surface tension versus ln [surfactant] plot before saturation has a chance to do so.
The Jafurah sand sea of the Eastern Province of Saudi Arabia extends along the Arabian Gulf coast... more The Jafurah sand sea of the Eastern Province of Saudi Arabia extends along the Arabian Gulf coastline from Kuwait in the north to the Rub Al Khali in the south, a distance of about 800 km. Sand drifts southward to south-eastward from regions of high wind energy in the north to low wind energy in the south.The aeolian landscape is zoned, with areas of deflation, transport and deposition from north to south. Drift rates in the zone of transport, near Abqaiq, range from 2 m3 m-w-1 yr-1 on sabkhas, to 29 m3 m-w-1 yr-1 on the crests of dunes. Average drift rates of approximately 18 m3 m-w-1 yr-1 observed during the study can cause about 1 m of accumulation per 5500 yr in a 100 km zone of deposition downwind, not including the bulk transport represented by the forward advance of dunes. Dune advance ranged from 23 m (2.9 m high dune) to 3 m (23 m high dune) during April-October 1980.The study area consists of dune, interdune, sand sheet and siliciclastic sabkha terrains, each of which is characterized by differing drift rates, and differing rates of erosion or deposition. Sedimentation occurs by lateral movement of dunes and interdunes, and vertical accretion by sand sheets and sabkhas.
Removing entrapped pacing and defibrillator leads has been greatly simplified by making use of th... more Removing entrapped pacing and defibrillator leads has been greatly simplified by making use of the excimer laser extractor. Sixty-two leads were successfully removed, although where appropriate, portions of the lead remained in place in 10 cases. There were two serious complications, one tear of the superior vena cava during an ICD extraction and one tear of the atrium during an atrial lead extraction. Both were controlled successfully through emergency sternotomy. Although extracting entrapped leads has been much simplified by making use of the laser extractor, the process is not free of serious complications. Those involved in explanting leads should be aware of the outcomes and be prepared for emergent management.
International Conference on Image Processing, 1999
The preprocessing stage of an automatic target recognition system extracts areas containing poten... more The preprocessing stage of an automatic target recognition system extracts areas containing potential targets from a battlefield scene. These potential target images are then sent to the classification stage to identify the targets. It is highly desirable at the preprocessing stage to minimize the incorrect rejection rate. This, however, results in a high false alarm rate. The high false alarm rate, in turn, makes subsequent target classification decisions unreliable. We present a new technique to reject false alarms (clutter images) produced by the preprocessing stage. Our technique, which we call region-based principal component analysis (PCA), uses topological features of the targets to reject false alarms. In this technique a potential target is divided into several regions and a PCA is performed on each region to extract regional feature vectors. We propose to use regional feature vectors of arbitrary shapes and dimensions that are optimized for the topology of a target in a particular region. These regional feature vectors are then used by a two-class classifier based on the learning vector quantization to decide whether a potential target is a false alarm or a real target
The performance of a classical linear vector predictor is limited by its ability to exploit only ... more The performance of a classical linear vector predictor is limited by its ability to exploit only the linear correlation between the blocks. However, a nonlinear predictor exploits the higher order correlations among the neighboring blocks, and can predict edge blocks with increased accuracy. We have investigated several neural network architectures that can be used to implement a nonlinear vector predictor, including the multilayer perceptron (MLP), the functional link (FL) network, and the radial basis function (RBF) network. Our experimental results show that a neural network predictor can predict the blocks containing edges with a higher accuracy than a linear predictor.
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