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MVA
2010
130views Computer Vision» more  MVA 2010»
13 years 5 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
JSYML
2007
66views more  JSYML 2007»
13 years 7 months ago
Spectra of structures and relations
We consider embeddings of structures which preserve spectra: if g : M → S with S computable, then M should have the same Turing degree spectrum (as a structure) that g(M) has (a...
Valentina S. Harizanov, Russel G. Miller
CRYPTO
2010
Springer
195views Cryptology» more  CRYPTO 2010»
13 years 8 months ago
Fully Secure Functional Encryption with General Relations from the Decisional Linear Assumption
This paper presents a fully secure functional encryption scheme for a wide class of relations, that are specified by non-monotone access structures combined with inner-product rel...
Tatsuaki Okamoto, Katsuyuki Takashima
TSMC
2002
69views more  TSMC 2002»
13 years 7 months ago
A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary S-model random environm
An extended algorithm of the relative reward strength algorithm is proposed. It is shown that the proposed algorithm ensures the convergence with probability 1 to the optimal path ...
Norio Baba, Yoshio Mogami
ACL
2006
13 years 8 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang