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» Computing LTS Regression for Large Data Sets
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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
14 years 3 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
COLING
2010
13 years 4 months ago
The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns
The problem addressed in this paper is to predict a user's numeric rating in a product review from the text of the review. Unigram and n-gram representations of text are comm...
Lizhen Qu, Georgiana Ifrim, Gerhard Weikum
INTENSIVE
2009
IEEE
14 years 3 months ago
A Service for Data-Intensive Computations on Virtual Clusters
Digital Preservation deals with the long-term storage, access, and maintenance of digital data objects. In order to prevent a loss of information, digital libraries and archives a...
Rainer Schmidt, Christian Sadilek, Ross King
ICML
2003
IEEE
14 years 10 months ago
Online Ranking/Collaborative Filtering Using the Perceptron Algorithm
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...
Edward F. Harrington
TOG
2008
102views more  TOG 2008»
13 years 9 months ago
Real-time data driven deformation using kernel canonical correlation analysis
Achieving intuitive control of animated surface deformation while observing a specific style is an important but challenging task in computer graphics. Solutions to this task can ...
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu