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» Improving object classification using semantic attributes
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ECCV
2010
Springer
14 years 1 months ago
A Discriminative Latent Model of Object Classes and Attributes
Abstract. We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g....
ICDE
2000
IEEE
130views Database» more  ICDE 2000»
14 years 9 months ago
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
Haixun Wang, Carlo Zaniolo
ICIP
2005
IEEE
14 years 9 months ago
Learning hidden semantic cues using support vector clustering
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
Jia-Wen Tung, Chiou-Ting Hsu
IDA
2000
Springer
13 years 7 months ago
Induction of decision trees in numeric domains using set-valued attributes
Conventional algorithms for decision tree induction use an attribute-value representation scheme for instances. This paper explores the empirical consequences of using set-valued ...
Dimitrios Kalles, Athanassios Papagelis, Eirini Nt...
ICDM
2007
IEEE
151views Data Mining» more  ICDM 2007»
13 years 11 months ago
Combining Collective Classification and Link Prediction
The problems of object classification (labeling the nodes of a graph) and link prediction (predicting the links in a graph) have been largely studied independently. Commonly, obje...
Mustafa Bilgic, Galileo Namata, Lise Getoor