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HRI
2009
ACM
14 years 2 months ago
Learning about objects with human teachers
A general learning task for a robot in a new environment is to learn about objects and what actions/effects they afford. To approach this, we look at ways that a human partner c...
Andrea Lockerd Thomaz, Maya Cakmak
JCDL
2005
ACM
100views Education» more  JCDL 2005»
14 years 1 months ago
What's there and what's not?: focused crawling for missing documents in digital libraries
Some large scale topical digital libraries, such as CiteSeer, harvest online academic documents by crawling open-access archives, university and author homepages, and authors’ s...
Ziming Zhuang, Rohit Wagle, C. Lee Giles
CVPR
2011
IEEE
13 years 3 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
ITS
2000
Springer
108views Multimedia» more  ITS 2000»
13 years 11 months ago
Is What You Write What You Get?: An Operational Model of Training Scenario
To meet the needs for large-scale, high-quality learning contents, needless to say, we have to sharpen authoring tools. Authoring process can be roughly divided into two phases, a ...
Yusuke Hayashi, Mitsuru Ikeda, Kazuhisa Seta, Osam...
PVLDB
2011
12 years 10 months ago
Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores
Adaptive indexing is characterized by the partial creation and refinement of the index as side effects of query execution. Dynamic or shifting workloads may benefit from prelimi...
Stratos Idreos, Stefan Manegold, Harumi A. Kuno, G...