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BMCBI
2007
178views more  BMCBI 2007»
13 years 10 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
RAS
2007
132views more  RAS 2007»
13 years 9 months ago
Virtual sensors for human concepts - Building detection by an outdoor mobile robot
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We suggest to use a virtual sensor (one or several physic...
Martin Persson, Tom Duckett, Achim J. Lilienthal
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 7 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
TMM
2010
270views Management» more  TMM 2010»
13 years 4 months ago
Sequence Multi-Labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context
Abstract--Automatic video annotation is a challenging yet important problem for content-based video indexing and retrieval. In most existing works, annotation is formulated as a mu...
Yuanning Li, YongHong Tian, Ling-Yu Duan, Jingjing...
AAAI
2012
12 years 13 days ago
Emoticon Smoothed Language Models for Twitter Sentiment Analysis
Twitter sentiment analysis (TSA) has become a hot research topic in recent years. The goal of this task is to discover the attitude or opinion of the tweets, which is typically fo...
Kun-Lin Liu, Wu-Jun Li, Minyi Guo