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KAIS
2008
221views more  KAIS 2008»
14 years 9 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
82
Voted
ICPP
2007
IEEE
15 years 4 months ago
RECN-IQ: A Cost-Effective Input-Queued Switch Architecture with Congestion Management
As the number of computing and storage nodes keeps increasing, the interconnection network is becoming a key element of many computing and communication systems, where the overall...
Gaspar Mora, Pedro Javier García, Jose Flic...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
CAD
2005
Springer
14 years 9 months ago
Bayesian computer-aided experimental design of heterogeneous scaffolds for tissue engineering
This paper presents a Bayesian methodology for computer-aided experimental design of heterogeneous scaffolds for tissue engineering applications. These heterogeneous scaffolds hav...
Lee E. Weiss, Cristina H. Amon, Susan Finger, Eric...
ECCV
2006
Springer
15 years 11 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher