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» The Dark Side of Object Learning: Learning Objects
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125
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ICIP
2006
IEEE
16 years 5 months ago
Local Discriminant Embedding with Tensor Representation
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
Jian Xia, Dit-Yan Yeung, Guang Dai
134
Voted
ICML
1998
IEEE
16 years 4 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
137
Voted
CVPR
2010
IEEE
16 years 4 days ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick
118
Voted
IROS
2007
IEEE
164views Robotics» more  IROS 2007»
15 years 10 months ago
Emulation and behavior understanding through shared values
— Neurophysiology has revealed the existence of mirror neurons in brain of macaque monkeys and they shows similar activities during executing an observation of goal directed move...
Yasutake Takahashi, Teruyasu Kawamata, Minoru Asad...
119
Voted
ICWL
2007
Springer
15 years 9 months ago
The ELEKTRA Ontology Model: A Learner-Centered Approach to Resource Description
Abstract. There is little doubt that intelligent and adaptive educational technologies are capable of providing personalized learning experiences and improving learning success. Cu...
Michael D. Kickmeier-Rust, Dietrich Albert