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ICCV
2009
IEEE
15 years 2 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
OPODIS
2004
15 years 5 months ago
Lock-Free and Practical Doubly Linked List-Based Deques Using Single-Word Compare-and-Swap
Abstract. We present an efficient and practical lock-free implementation of a concurrent deque that supports parallelism for disjoint accesses and uses atomic primitives which are ...
Håkan Sundell, Philippas Tsigas
ICDCS
2012
IEEE
13 years 6 months ago
Scaling Down Off-the-Shelf Data Compression: Backwards-Compatible Fine-Grain Mixing
—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...
Michael Gray, Peter Peterson, Peter L. Reiher
CVPR
2006
IEEE
16 years 6 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin
ICPR
2004
IEEE
16 years 5 months ago
Selecting Models from Videos for Appearance-Based Face Recognition
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...
Abdenour Hadid, Matti Pietikäinen