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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 4 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
KDD
2006
ACM
228views Data Mining» more  KDD 2006»
16 years 4 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen
CHI
2006
ACM
16 years 4 months ago
Time is of the essence: an evaluation of temporal compression algorithms
Although speech is a potentially rich information source, a major barrier to exploiting speech archives is the lack of useful tools for efficiently accessing lengthy speech record...
Simon Tucker, Steve Whittaker
STOC
2006
ACM
114views Algorithms» more  STOC 2006»
16 years 4 months ago
Linear time low tree-width partitions and algorithmic consequences
Classes of graphs with bounded expansion have been introduced in [15], [12]. They generalize both proper minor closed classes and classes with bounded degree. For any class with b...
Jaroslav Nesetril, Patrice Ossona de Mendez
167
Voted
3DPVT
2006
IEEE
149views Visualization» more  3DPVT 2006»
15 years 10 months ago
Depth Images: Representations and Real-Time Rendering
Depth Images are viable representations that can be computed from the real world using cameras and/or other scanning devices. The depth map provides 2-1 2 D structure of the scene...
Pooja Verlani, Aditi Goswami, P. J. Narayanan, She...