Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
Abstract. Understanding program behavior is at the foundation of program optimization. Techniques for automatic recognition of program constructs characterize the behavior of code ...