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» Orthogonal Feature Learning for Time Series Clustering
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ICML
1994
IEEE
13 years 11 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
UM
2001
Springer
13 years 12 months ago
Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study
In an experimental environment, we simulated the situation of a user who gives speech input to a system while walking through an airport. The time pressure on the subjects and the ...
Christian A. Müller, Barbara Großmann-H...
IEEEVAST
2010
13 years 2 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
AAAI
2012
11 years 10 months ago
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...
Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Chr...
PCM
2005
Springer
141views Multimedia» more  PCM 2005»
14 years 1 months ago
Automatic Photo Indexing Based on Person Identity
In this paper, we propose a novel approach to automatically index digital home photos based on person identity. A person is identified by his/her face and clothes. The proposed met...
Seungji Yang, Kyong Sok Seo, Sang Kim, Yong Man Ro...