A Andoni, P Indyk - Communications of the ACM, 2008 - dl.acm.org
In this article, we give an overview of efficient algorithms for the approximate and exact nearest neighbor problem. The goal is to preprocess a dataset of objects (eg, images) so …
This chapter provides an accessible introduction for point processes, and especially Hawkes processes, for modeling discrete, inter-dependent events over continuous time. We start by …
L Paulevé, H Jégou, L Amsaleg - Pattern recognition letters, 2010 - Elsevier
It is well known that high-dimensional nearest neighbor retrieval is very expensive. Dramatic performance gains are obtained using approximate search schemes, such as the popular …
Deep learning for video classification and captioning Page 1 IPART MULTIMEDIA CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …
The problem of designing a multiple-description vector quantizer with lattice codebook/spl Lambda/is considered. A general solution is given to a labeling problem which plays a …
Tail-biting trellis representations of block codes are investigated. We develop some elementary theory, and present several intriguing examples, which we hope will stimulate …
A Lafourcade, A Vardy - IEEE Transactions on Information …, 1996 - ieeexplore.ieee.org
While the complexity of trellis decoding for a given block code is essentially a function of the number of states and branches in its trellis, the decoding complexity may be often reduced …
J Hamkins, K Zeger - IEEE Transactions on Information Theory, 2002 - ieeexplore.ieee.org
A fixed-rate shape-gain quantizer for the memoryless Gaussian source is proposed. The shape quantizer is constructed from wrapped spherical codes that map a sphere packing …
H Jégou, L Amsaleg, C Schmid… - 2008 IEEE International …, 2008 - ieeexplore.ieee.org
It is well known that high-dimensional nearest-neighbor retrieval is very expensive. Many signal processing methods suffer from this computing cost. Dramatic performance gains can …