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CHI
2011
ACM
14 years 8 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
SIGIR
2011
ACM
14 years 7 months ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
SIGIR
2012
ACM
13 years 7 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
MICCAI
2008
Springer
16 years 6 months ago
Automatic Guidance of an Ultrasound Probe by Visual Servoing Based on B-Mode Image Moments
We propose a new visual servo approach to automatically control in real-time the full motion of a 2D ultrasound (US) probe held by a medical robot in order to reach a desired image...
Rafik Mebarki, Alexandre Krupa, Christophe Colle...
DILS
2009
Springer
15 years 11 months ago
Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes
Probabilistic functional integrated networks are powerful tools with which to draw inferences from high-throughput data. However, network analyses are generally not tailored to spe...
Katherine James, Anil Wipat, Jennifer Hallinan