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» Object correspondence as a machine learning problem
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154
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MLDM
2007
Springer
15 years 8 months ago
Mining Frequent Trajectories of Moving Objects for Location Prediction
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...
Mikolaj Morzy
ECCV
2006
Springer
16 years 3 months ago
Learning to Detect Objects of Many Classes Using Binary Classifiers
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
CORR
2010
Springer
175views Education» more  CORR 2010»
14 years 8 months ago
On the Combinatorial Multi-Armed Bandit Problem with Markovian Rewards
We consider a combinatorial generalization of the classical multi-armed bandit problem that is defined as follows. There is a given bipartite graph of M users and N M resources. F...
Yi Gai, Bhaskar Krishnamachari, Mingyan Liu
171
Voted
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 4 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
103
Voted
ALT
2003
Springer
15 years 11 months ago
Intrinsic Complexity of Uniform Learning
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...
Sandra Zilles