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ICCV
2009
IEEE
13 years 6 months ago
Associative hierarchical CRFs for object class image segmentation
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...
CVPR
2007
IEEE
14 years 10 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
ICDM
2003
IEEE
96views Data Mining» more  ICDM 2003»
14 years 2 months ago
Mining Plans for Customer-Class Transformation
We consider the problem of mining high-utility plans from historical plan databases that can be used to transform customers from one class to other, more desirable classes. Tradit...
Qiang Yang, Hong Cheng
IBPRIA
2009
Springer
14 years 1 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
AAAI
2010
13 years 6 months ago
Latent Class Models for Algorithm Portfolio Methods
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
Bryan Silverthorn, Risto Miikkulainen