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ICML
1995
IEEE
16 years 5 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
ALT
2008
Springer
16 years 1 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
ICMCS
2007
IEEE
127views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Robust Parking Space Detection Considering Inter-Space Correlation
A major problem in metropolitan areas is searching for parking spaces. In this paper, we propose a novel method for parking space detection. Given input video captured by a camera...
Qi Wu, Chingchun Huang, Shih-yu Wang, Wei-chen Chi...
ACCV
2007
Springer
15 years 10 months ago
Gesture Recognition Under Small Sample Size
This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a ...
Tae-Kyun Kim, Roberto Cipolla
EUROPAR
2007
Springer
15 years 10 months ago
Parallelization of Bulk Operations for STL Dictionaries
STL dictionaries like map and set are commonly used in C++ programs. We consider parallelizing two of their bulk operations, namely the construction from many elements, and the ins...
Leonor Frias, Johannes Singler