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» Object detection at multiple scales improves accuracy
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ASPLOS
2012
ACM
13 years 5 months ago
Chameleon: operating system support for dynamic processors
The rise of multi-core processors has shifted performance efforts towards parallel programs. However, single-threaded code, whether from legacy programs or ones difficult to para...
Sankaralingam Panneerselvam, Michael M. Swift
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
15 years 10 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
WWW
2011
ACM
14 years 4 months ago
Two-stream indexing for spoken web search
This paper presents two-stream processing of audio to index the audio content for Spoken Web search. The first stream indexes the meta-data associated with a particular audio doc...
Jitendra Ajmera, Anupam Joshi, Sougata Mukherjea, ...
ATAL
2006
Springer
15 years 1 months ago
Reinforcement learning for declarative optimization-based drama management
A long-standing challenge in interactive entertainment is the creation of story-based games with dynamically responsive story-lines. Such games are populated by multiple objects a...
Mark J. Nelson, David L. Roberts, Charles Lee Isbe...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 3 days ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...