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ICPR
2000
IEEE
15 years 9 months ago
Video Cut Detection using Frequency Domain Correlation
A common video indexing technique is to segment a video sequence into shots and then select representative key-frames. The process of shot break detection is a fundamental compone...
Sarah V. Porter, Majid Mirmehdi, Barry T. Thomas
NIPS
1998
15 years 6 months ago
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...
Ping Zhou, Jim Austin, John Kennedy
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 2 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
SADM
2008
165views more  SADM 2008»
15 years 4 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...
BMCBI
2010
102views more  BMCBI 2010»
15 years 4 months ago
Quantized correlation coefficient for measuring reproducibility of ChIP-chip data
Background: Chromatin immunoprecipitation followed by microarray hybridization (ChIP-chip) is used to study protein-DNA interactions and histone modifications on a genome-scale. T...
Shouyong Peng, Mitzi I. Kuroda, Peter J. Park