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» Improved Approximation Algorithms for Label Cover Problems
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EMNLP
2011
13 years 9 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
CVPR
2012
IEEE
13 years 7 days ago
Detecting activities of daily living in first-person camera views
We present a novel dataset and novel algorithms for the problem of detecting activities of daily living (ADL) in firstperson camera views. We have collected a dataset of 1 millio...
Hamed Pirsiavash, Deva Ramanan
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
14 years 11 months ago
Memory with memory: soft assignment in genetic programming
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Nicholas Freitag McPhee, Riccardo Poli
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...
CIKM
2003
Springer
15 years 3 months ago
High dimensional reverse nearest neighbor queries
Reverse Nearest Neighbor (RNN) queries are of particular interest in a wide range of applications such as decision support systems, profile based marketing, data streaming, docum...
Amit Singh, Hakan Ferhatosmanoglu, Ali Saman Tosun