Abstract. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-r...
We propose a visual recognition system that is designed for fine-grained visual categorization. The system is composed of a machine and a human user. The user, who is unable to c...
Catherine Wah, Steven Branson, Pietro Perona, Serg...
Spatial awareness is crucial for human performance efficiency of any task that entails perception of space. Memory of spaces is an imperfect reflection of the cognitive activity (...
The semantic annotation of documents is an additional advantage for retrieval, as long as the annotations and their maintenance process scale well. Automatic or semi-automatic ann...
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...