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KDD
2004
ACM
151views Data Mining» more  KDD 2004»
15 years 9 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
JOCN
2010
107views more  JOCN 2010»
14 years 7 months ago
Rapid Detection of Emotion from Human Vocalizations
■ The rapid detection of affective signals from conspecifics is crucial for the survival of humans and other animals; if those around you are scared, there is reason for you to ...
Disa Anna Sauter, Martin Eimer
SIGMETRICS
2011
ACM
270views Hardware» more  SIGMETRICS 2011»
14 years 8 days ago
Scalable monitoring via threshold compression in a large operational 3G network
Threshold-based performance monitoring in large 3G networks is very challenging for two main factors: large network scale and dynamics in both time and spatial domains. There exis...
Suk-Bok Lee, Dan Pei, MohammadTaghi Hajiaghayi, Io...
CVPR
2012
IEEE
12 years 12 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
ICTAI
2006
IEEE
15 years 3 months ago
On the Relationships between Clustering and Spatial Co-location Pattern Mining
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
Yan Huang, Pusheng Zhang