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ISBI
2009
IEEE
16 years 1 months ago
Probabilistic Branching Node Detection Using Hybrid Local Features
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...
MICAI
2007
Springer
16 years 23 days ago
Building Fine Bayesian Networks Aided by PSO-Based Feature Selection
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...
María del Carmen Chávez, Gladys Casa...
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
16 years 20 days ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu
CEAS
2004
Springer
16 years 19 hour ago
The Impact of Feature Selection on Signature-Driven Spam Detection
Signature-driven spam detection provides an alternative to machine learning approaches and can be very effective when near-duplicates of essentially the same message are sent in h...
Aleksander Kolcz, Abdur Chowdhury, Joshua Alspecto...
CAIP
2005
Springer
159views Image Analysis» more  CAIP 2005»
15 years 8 months ago
Global Color Image Features for Discrete Self-localization of an Indoor Vehicle
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
Wlodzimierz Kasprzak, Ewa Wojciech Szynkiewicz, Mi...