In this paper we investigate shape and motion retrieval in the context of multi-camera systems. We propose a new lowlevel analysis based on latent silhouette cues, particularly su...
Li Guan, Jean-Sebastien Franco, Edmond Boyer, Marc...
Object recognition is challenging due to high intra-class
variability caused, e.g., by articulation, viewpoint changes,
and partial occlusion. Successful methods need to strike a...
Public-use sensor datasets are a useful scientific resource with the unfortunate feature that their provenance is easily disconnected from their content. To address this we intro...
Stephen Chong, Christian Skalka, Jeffrey A. Vaugha...
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Unsupervised grammar induction is one of the most difficult works of language processing. Its goal is to extract a grammar representing the language structure using texts without a...