نتایج جستجو برای: ishii 2000

تعداد نتایج: 172533  

1994
SHICEAKI KOIKE S. KOIKE

is a given function, where L2 is a bounded open set of R” and S” is the set of symmetric matrices of order n. Several authors have studied some systems of PDEs via viscosity solution methods; e.g. [l-5]. Recently, Ishii and Koike [6] have pointed out that these systems have a monotone structure and have obtained uniqueness results under the assumption of monotonicity on F. Moreover, Ishii [7] h...

2004
A E Hegab T Sakamoto Y Uchida A Nomura Y Ishii Y Morishima M Mochizuki T Kimura W Saitoh H H Massoud H M Massoud K M Hassanein K Sekizawa

A E Hegab, T Sakamoto, Y Uchida, A Nomura, Y Ishii, Y Morishima, M Mochizuki, T Kimura, W Saitoh, H H Massoud, H M Massoud, K M Hassanein, K Sekizawa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

Journal: :پژوهش های زبانی 0
شجاع تفکری رضائی استادیار گروه زبان شناسی دانشگاه رازی کبری نظری دانش آموختۀ مقطع کارشناسی ارشد زبان شناسی دانشگاه رازی

this article investigates the syntactic structure of numeral classifiers in persian dps within the minimalist program. numeral classifiers are morphemes by which nouns are numerated by a number category. the morpho-syntactic analysis of classifiers in comparison to the other constituents of dps like number, based on cheng and sybesma (2005), ishii (2000), li(1998, 1999), tang (2004), simpson (2...

2012
Pierre Magistry

Unsupervized Word Segmentation In this paper, we present an unsupervised segmentation system tested on Mandarine Chinese. Following Harris’s Hypothesis in Kempe (1999) and Tanaka-Ishii (2005) reformulation, we base our work on the Variation of Branching Entropy. We improve on (Jin et Tanaka-Ishii, 2006) by adding normalization and Viterbi-decoding. This enables us to remove most of the threshol...

2008
Justin Dauwels Yuki Tsukada Yuichi Sakumura Shin Ishii Kazuhiro Aoki Takeshi Nakamura Michiyuki Matsuda François B. Vialatte Andrzej Cichocki

These authors contributed equally Massachusetts Institute of Technology, Cambridge, MA RIKEN Brain Science Institute, Saitama, Japan Nara Institute of Science and Technology (NAIST), Nara, Japan Kyoto University, Kyoto, Japan Institute for Bioinformatics Research and Development (BIRD), Japan Science and Technology Agency (JST). [email protected], {yuki-ts,saku}@is.naist.jp {ishii@i,kaoki@path1....

2010
Edmondo Trentin Stefan Scherer Friedhelm Schwenker

Maximum Echo-State-Likelihood Networks for Emotion Recognition Edmondo Trentin, Stefan Scherer, aand Friedhelm Schwenker Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysis Tsuneyoshi Ishii and Shigeo Abe Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers Rakkrit Duangsoithong and Terry Windeatt A New Monte Carlo-based Error Rate Estimator Ah...

Journal: :Computer Vision and Image Understanding 1998
Helder Araújo Rodrigo L. Carceroni Christopher M. Brown

Both the original version of David Lowe's innuential and classic algorithm for tracking known objects and a reformulation of it implemented by Ishii et al. rely on (diierent) approximated imaging models. Removing their simplifying assumptions yields a fully pro-jective solution with signiicantly improved accuracy and convergence, and arguably better computation{ time properties.

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