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SPIRE
2007
Springer
16 years 9 days ago
Highly Frequent Terms and Sentence Retrieval
In this paper we propose a novel sentence retrieval method based on extracting highly frequent terms from top retrieved documents. We compare it against state of the art sentence r...
David E. Losada, Ronald T. Fernández
AAAI
2006
15 years 7 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
MM
2010
ACM
162views Multimedia» more  MM 2010»
15 years 6 months ago
Interactive visual object search through mutual information maximization
Searching for small objects (e.g., logos) in images is a critical yet challenging problem. It becomes more difficult when target objects differ significantly from the query object...
Jingjing Meng, Junsong Yuan, Yuning Jiang, Nitya N...
ICCV
2003
IEEE
15 years 11 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
CLEF
2006
Springer
15 years 10 months ago
Dublin City University at CLEF 2006: Cross-Language Speech Retrieval (CL-SR) Experiments
The Dublin City University participation in the CLEF 2006 CL-SR task concentrated on exploring the combination of the multiple fields associated with the documents. This was based...
Gareth J. F. Jones, Ke Zhang, Adenike M. Lam-Adesi...