Here we present a Multiclass Multi Kernel Learning (MKL) algorithm that obtains state-of-the-art performance in a considerably lower training time. We ...

Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled ap- proach to combine multiple cues, ...

Here we present a Multiclass Multi Kernel Learning (MKL) algorithm that obtains state-of-the-art performance in a considerably lower training time. We ...

Oct 22, 2024 · Here we present a Multiclass Multi Kernel Learning (MKL) algorithm that obtains state-of-the-art performance in a considerably lower training ...

Here we present a Multiclass Multi Kernel Learning. (MKL) algorithm that obtains state-of-the-art performance in a considerably lower training time. We ...

Strong convexity is a key property to design fast batch and online algorithms: the more a problem is strongly convex the easier it is to optimize it (Shalev- ...

Fingerprint. Dive into the research topics of 'Online-batch strongly convex multi kernel learning'. Together they form a unique fingerprint.

Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain ...

Jul 19, 2010 · Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues ...

If a problem has a strongly convex objective function, then it is easier to optimize it. Therefore strong convexity is a key property for the design of fast ...