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» The Weak Instance Model
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IJCAI
1997
13 years 9 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
ICMCS
2010
IEEE
178views Multimedia» more  ICMCS 2010»
13 years 9 months ago
Optimal configuration of hash table based multimedia fingerprint databases using weak bits
The increasingly large amount of digital multimedia content has created a need for technologies to search and identify multimedia files. Multimedia fingerprinting has been widely ...
Claus Bauer, Regunathan Radhakrishnan, Wenyu Jiang
ICCV
1999
IEEE
14 years 4 days ago
What Can Be Determined from a Full and a Weak Perspective Image?
This paper presents a first investigation on the structure from motion problem from the combination of full and weak perspective images. This problem arises in multiresolution obj...
Zhengyou Zhang, P. Anandan, Heung-Yeung Shum
TCOM
2010
67views more  TCOM 2010»
13 years 6 months ago
Weakly-Constrained Codes for Suppression of Patterning Effects in Digital Communications
—We propose weakly-constrained stream and block codes with tunable pattern-dependent statistics and demonstrate that the block code capacity at large block sizes is close to the ...
Alexander V. Shafarenko, Anton Skidin, Sergei K. T...
JMLR
2008
100views more  JMLR 2008»
13 years 7 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori