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109
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SIGIR
2006
ACM
15 years 6 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
90
Voted
ICCV
2007
IEEE
16 years 2 months ago
Methods for space line localization from single catadioptric images: new proposals and comparisons
Line localization from a single image of a central camera is an ill-posed problem unless other constraints or apriori knowledge are exploited. Recently, it has been proved that no...
Vincenzo Caglioti, Simone Gasparini, Pierluigi Tad...
108
Voted
COMPGEOM
2010
ACM
15 years 5 months ago
The complexity of the normal surface solution space
Normal surface theory is a central tool in algorithmic threedimensional topology, and the enumeration of vertex normal surfaces is the computational bottleneck in many important a...
Benjamin A. Burton
93
Voted
DCC
2006
IEEE
16 years 5 days ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
TACAS
2009
Springer
89views Algorithms» more  TACAS 2009»
15 years 7 months ago
Hierarchical Adaptive State Space Caching Based on Level Sampling
In the past, several attempts have been made to deal with the state space explosion problem by equipping a depth-first search (DFS) algorithm with a state cache, or by avoiding co...
Radu Mateescu, Anton Wijs