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TIP
2010
141views more  TIP 2010»
15 years 5 days ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
ICASSP
2011
IEEE
14 years 9 months ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...
ICC
2007
IEEE
116views Communications» more  ICC 2007»
15 years 11 months ago
Energy Maps for Large-scale, Mobile Wireless Networks
— Energy planning and optimization constitutes one of the most significant challenges for high-mobility networks. This paper proposes a novel framework to share, retain and re...
Min Kyoung Park, Volkan Rodoplu
CVPR
2010
IEEE
16 years 2 months ago
Aggregating local descriptors into a compact image representation
We address the problem of image search on a very large scale, where three constraints have to be considered jointly: the accuracy of the search, its efficiency, and the memory usag...
Hervé Jégou, Matthijs Douze, Cordelia Schmid and...
NIPS
2004
15 years 6 months ago
Supervised Graph Inference
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Jean-Philippe Vert, Yoshihiro Yamanishi