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FGR
1996
IEEE
117views Biometrics» more  FGR 1996»
13 years 8 months ago
Tracking and Learning Graphs and Pose on Image Sequences of Faces
We demonstrate a system capable of tracking, in real world image sequences, landmarks such as eyes, mouth, or chin on a face. In the standard version, knowledge previously collect...
Thomas Maurer, Christoph von der Malsburg
ICRA
1999
IEEE
97views Robotics» more  ICRA 1999»
13 years 8 months ago
Using Infrared Sensors and the Phong Illumination Model to Measure Distances
Currently, the viability of infrared IR as an accurate means of measuring distance depends on extensive prior knowledge of the surface. More speci cally, the manner in which a sur...
Paul M. Novotny, Nicola J. Ferrier
CLEF
2000
Springer
13 years 8 months ago
Automatic Language-Specific Stemming in Information Retrieval
We employ Automorphology, an MDL-based algorithm that determines the suffixes present in a language-sample with no prior knowledge of the language in question, and describe our exp...
John A. Goldsmith, Derrick Higgins, Svetlana Sogla...
WECWIS
2000
IEEE
138views ECommerce» more  WECWIS 2000»
13 years 8 months ago
DTD-Miner: A Tool for Mining DTD from XML Documents
XML documents are semistructured and the structure of the documents is embedded in the tags. Although XML documents can be accompaniedby a DTD that defines the structure of the d...
Chuang-Hue Moh, Ee-Peng Lim, Wee Keong Ng
IJCNN
2000
IEEE
13 years 8 months ago
Knowledge-Based Cascade-Correlation
KBCC is an extension of the cascade-correlation algorithm that treats functions encapsulating prior knowledge as black-boxes which, like simple sigmoidal neurons, can be recruited...
Thomas R. Shultz, François Rivest
IFSA
2003
Springer
101views Fuzzy Logic» more  IFSA 2003»
13 years 9 months ago
Commutativity as Prior Knowledge in Fuzzy Modeling
In fuzzy modeling (FM), the quantity and quality of the training set is crucial to properly grasp the behavior of the system being modeled. However, the available data are often n...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
13 years 9 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
GCC
2005
Springer
13 years 9 months ago
Knowledge Acquisition Based on the Global Concept of Fuzzy Cognitive Maps
Combination of prior knowledge and implicit knowledge hidden in the data of system can enhance the quality of information services in Knowledge Grid. Fuzzy Cognitive Maps (FCMs) ar...
Xiangfeng Luo
ECML
2005
Springer
13 years 9 months ago
Rotational Prior Knowledge for SVMs
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
Arkady Epshteyn, Gerald DeJong
SIGMOD
2005
ACM
123views Database» more  SIGMOD 2005»
13 years 10 months ago
To Do or Not To Do: The Dilemma of Disclosing Anonymized Data
Decision makers of companies often face the dilemma of whether to release data for knowledge discovery, vis a vis the risk of disclosing proprietary or sensitive information. Whil...
Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Rames...