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SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
13 years 11 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
AI
2011
Springer
13 years 1 months ago
Subspace Mapping of Noisy Text Documents
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, ...
JMLR
2010
132views more  JMLR 2010»
13 years 4 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
ASIAN
2007
Springer
128views Algorithms» more  ASIAN 2007»
14 years 4 months ago
A Formal Analysis for Capturing Replay Attacks in Cryptographic Protocols
Abstract. We present a reduction semantics for the LYSA calculus extended with session information, for modelling cryptographic protocols, and a static analysis for it. If a protoc...
Han Gao, Chiara Bodei, Pierpaolo Degano, Hanne Rii...
CORR
2011
Springer
243views Education» more  CORR 2011»
13 years 4 months ago
Localization from Incomplete Noisy Distance Measurements
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
Adel Javanmard, Andrea Montanari