Support Vector Machines (SVM) are one of the most useful
techniques in classification problems. One clear example
is face recognition. However, SVM cannot be applied
when the fe...
In this paper, we propose a novel predictive model for
object boundary, which can integrate information from any
sources. The model is a dynamic “object” model whose
manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
In this report, we consider whether statistical regularities in natural images might be exploited to provide an improved selection criterion for interest points. One approach that ...
During this talk, I will introduce a novel family of contextual measures of similarity between distributions: the similarity between two distributions q and p is measured in the co...
Florent Perronnin (Xerox Research Centre Europe), ...
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...