When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
In an 2D echocardiogram exam, an ultrasound probe
samples the heart with 2D slices. Changing the orientation
and position on the probe changes the slice viewpoint, altering
the ...
Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fath...