High-end enterprise storage has traditionally consisted of monolithic systems with customized hardware, multiple redundant components and paths, and no single point of failure. Di...
We present a novel scheme for indexing "hot spots" in conversations, such as poster sessions, based on the reaction of the audience. Specifically, we focus on laughters ...
—This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse di...
Motivated by improving statistical shape analysis, this paper presents a novel landmark-based method for accurate shape correspondence, where the general goal is to align multiple...
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...