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DCC
2006
IEEE
16 years 4 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
IUI
2009
ACM
16 years 1 months ago
Fixing the program my computer learned: barriers for end users, challenges for the machine
The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it mat...
Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Steph...
ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Self-Supervised Learning for Robust Video Indexing
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
Ralph Ewerth, Bernd Freisleben
NORDICHI
2006
ACM
15 years 10 months ago
Video storytelling as mediation of organizational learning
Stories help us structure our perception of a complex reality. Stories told in a workplace context also help to preserve knowledge of the organization, which is especially importa...
Cecilia Katzeff, Vanessa Ware
ECCV
2010
Springer
15 years 8 months ago
Discriminative Tracking by Metric Learning
We present a discriminative model that casts appearance modeling and visual matching into a single objective for visual tracking. Most previous discriminative models for visual tra...