Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personās activities and signiļ¬...
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
Alan S. Willsky, Anthony J. Yezzi, John W. Fisher ...
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose āonline boostingā algorithms where weak classiļ¬er sets...
Alexis Lechervy, Philippe Henri Gosselin, Frederic...