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IJAR
2006
89views more  IJAR 2006»
13 years 8 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
NIPS
2007
13 years 10 months ago
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
We present a novel paradigm for statistical machine translation (SMT), based on a joint modeling of word alignment and the topical aspects underlying bilingual document-pairs, via...
Bing Zhao, Eric P. Xing
VRST
2003
ACM
14 years 2 months ago
Time-critical collision detection using an average-case approach
We present a novel, generic framework and algorithm for hierarchical collision detection, which allows an application to balance speed and quality of the collision detection. We p...
Jan Klein, Gabriel Zachmann
PLDI
1995
ACM
14 years 12 days ago
Unifying Data and Control Transformations for Distributed Shared Memory Machines
We present a unified approach to locality optimization that employs both data and control transformations. Data transformations include changing the array layout in memory. Contr...
Michal Cierniak, Wei Li
EGPGV
2011
Springer
366views Visualization» more  EGPGV 2011»
13 years 12 days ago
GPU Algorithms for Diamond-based Multiresolution Terrain Processing
We present parallel algorithms for processing, extracting and rendering adaptively sampled regular terrain datasets represented as a multiresolution model defined by a super-squa...
M. Adil Yalçin, Kenneth Weiss, Leila De Flo...