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» Distance Functions to Detect Changes in Data Streams
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CVPR
2008
IEEE
14 years 9 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
ICMCS
2006
IEEE
180views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Automatic Speaker Segmentation using Multiple Features and Distance Measures: A Comparison of Three Approaches
This paper addresses the problem of unsupervised speaker change detection. Three systems based on the Bayesian Information Criterion (BIC) are tested. The first system investigat...
Margarita Kotti, Luis P. M. Martins, Emmanouil Ben...
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 7 months ago
Outlier detection by sampling with accuracy guarantees
An effective approach to detect anomalous points in a data set is distance-based outlier detection. This paper describes a simple sampling algorithm to efficiently detect distance...
Mingxi Wu, Chris Jermaine
ICIP
2007
IEEE
14 years 1 months ago
Water Level Detection for Functionally Layered Video Coding
This paper proposes a new type of layered video coding especially for the use of monitoring a river or a water channel. A sensor node of the system decomposes a video signal into ...
Masahiro Iwahashi, Sakol Udomsiri, Yuji Imai, Shog...
SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
14 years 7 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang