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ICML
2007
IEEE
14 years 8 months ago
The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks
We consider the problem of multiclass classification where both labeled and unlabeled data points are given. We introduce and demonstrate a new approach for estimating a distribut...
Arik Azran
CIDM
2007
IEEE
14 years 2 months ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan
ICASSP
2011
IEEE
12 years 11 months ago
A hierarchical static-dynamic framework for emotion classification
The goal of emotion classification is to estimate an emotion label, given representative data and discriminative features. Humans are very good at deriving high-level representat...
Emily Mower, Shrikanth Narayanan
ICASSP
2011
IEEE
12 years 11 months ago
Automatic audio tag classification via semi-supervised canonical density estimation
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
Jun Takagi, Yasunori Ohishi, Akisato Kimura, Masas...
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
14 years 3 days ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh