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CVPR
2010
IEEE
16 years 27 days ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
ACG
2009
Springer
15 years 11 months ago
Solving Kriegspiel Endings with Brute Force: The Case of KR vs. K
Retrograde analysis is a tool for reconstructing a game tree starting from its leaves; with these techniques one can solve specific subsets of a complex game, achieving optimal pl...
Paolo Ciancarini, Gian Piero Favini
ESA
2009
Springer
346views Algorithms» more  ESA 2009»
15 years 11 months ago
Hash, Displace, and Compress
A hash function h, i.e., a function from the set U of all keys to the range range [m] = {0, . . . , m − 1} is called a perfect hash function (PHF) for a subset S ⊆ U of size n ...
Djamal Belazzougui, Fabiano C. Botelho, Martin Die...
ICPR
2008
IEEE
15 years 11 months ago
Video summarization with supervised learning
We present a video summarization technique based on supervised learning. Within a class of videos of similar nature, user provides the desired summaries for a subset of videos. Ba...
Jayanta Basak, Varun Luthra, Santanu Chaudhury
ICC
2007
IEEE
15 years 11 months ago
Turbo Multiuser Detection Based on Local Search Algorithms
—The full-complexity soft-input/soft-output (SISO) multiuser detector based on the a posteriori probability (APP) algorithm has a computational complexity growing exponentially w...
Zhiliang Qin, Kui Cai, Xiaoxin Zou