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» Algorithm Selection using Reinforcement Learning
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MIR
2010
ACM
167views Multimedia» more  MIR 2010»
13 years 11 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
WWW
2009
ACM
13 years 11 months ago
StatSnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-...
MM
2009
ACM
178views Multimedia» more  MM 2009»
13 years 11 months ago
Semantic context transfer across heterogeneous sources for domain adaptive video search
Automatic video search based on semantic concept detectors has recently received significant attention. Since the number of available detectors is much smaller than the size of h...
Yu-Gang Jiang, Chong-Wah Ngo, Shih-Fu Chang
EDUTAINMENT
2007
Springer
13 years 11 months ago
A Hybrid of Plot-Based and Character-Based Interactive Storytelling
Interactive storytelling in the virtual environment attracts a lot of research interests in recent years. Story plot and character are two most important elements of a story. Based...
Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
RECSYS
2009
ACM
13 years 9 months ago
iTag: a personalized blog tagger
We present iTag, a personalized tag recommendation system for blogs. iTag improves on the state-of-the-art in tag recommendation systems in two ways. First, iTag has much higher p...
Michael Hart, Rob Johnson, Amanda Stent