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» Relational Parametricity for Computational Effects
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ECBS
2011
IEEE
197views Hardware» more  ECBS 2011»
14 years 4 months ago
Finding Interaction Faults Adaptively Using Distance-Based Strategies
Abstract—Software systems are typically large and exhaustive testing of all possible input parameters is usually not feasible. Testers select tests that they anticipate may catch...
Renée C. Bryce, Charles J. Colbourn, D. Ric...
178
Voted
INFOCOM
2012
IEEE
13 years 7 months ago
VDN: Virtual machine image distribution network for cloud data centers
—Cloud computing centers face the key challenge of provisioning diverse virtual machine instances in an elastic and scalable manner. To address this challenge, we have performed ...
Chunyi Peng, Minkyong Kim, Zhe Zhang, Hui Lei
147
Voted
ICCV
2007
IEEE
16 years 6 months ago
What Can Casual Walkers Tell Us About A 3D Scene?
An approach for incremental learning of a 3D scene from a single static video camera is presented in this paper. In particular, we exploit the presence of casual people walking in...
Diego Rother, Kedar A. Patwardhan, Guillermo Sapir...
ECCV
2006
Springer
16 years 6 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
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 5 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye