Results 11 - 20
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15,202
PCA-SIFT: A more distinctive representation for local image descriptors
, 2004
"... Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently evaluated a variety of approaches and identified the SIFT [11] algorithm as being the most resistant to common image deforma ..."
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Cited by 591 (6 self)
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Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently evaluated a variety of approaches and identified the SIFT [11] algorithm as being the most resistant to common image
Distinctive feature enhancement: a review
"... We continue the review of some of the basic premises of Quantal-Enhancement Theory (Stevens 1972, 1989, etc.) initiated in Clements and Ridouane (2006). While Quantal Theory proposes to account for similarities in feature realisation across speakers and languages, Enhancement Theory proposes to acco ..."
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in speech output. The realization of a given speech form is never quite the same across utterances, and varies considerably when we take differences in speech rate, style, and speaker into account. It is easily observed that a given distinctive feature may be incompletely realized, or not realized at all
Efficient mining of frequent and distinctive feature configurations
- In ICCV’07
, 2007
"... We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background. The approach is based on computationally efficient data mining techniques and can find frequent configurations among ten ..."
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Cited by 88 (1 self)
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We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background. The approach is based on computationally efficient data mining techniques and can find frequent configurations among
I. THEORY OF DISTINCTIVE FEATURES A. THE NATURE OF DISTINCTIVE FEATURES *
"... The nature of distinctive ..."
The Use of Distinctive Features for Automatic Speech Recognition
, 1991
"... One of the most critical and yet unsolved problems in phonetic recognition is the transformation of the continuous speech signal to a discrete representation for accessing words in the lexicon. In order to find an efficient description of speech for recognition tasks, our research investigates the u ..."
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Cited by 19 (0 self)
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the use of distinctive features. Distinctive features are a small set of linguistic units which have the potential advantage of enabling us to describe contextual and coarticulatory variations in speech more parsimoniously and thus make more effective use of available training data.
Distinctive feature detection using support vector machines
- International Conference on Acoustics, Speech and Signal Processing
, 1998
"... An important aspect of distinctive feature based approaches to automatic speech recognition is the formulation of a framework for robust detection of these features. We discuss the application of the support vector machines (SVM) that arise when the structural risk minimization principle is applied ..."
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Cited by 38 (3 self)
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An important aspect of distinctive feature based approaches to automatic speech recognition is the formulation of a framework for robust detection of these features. We discuss the application of the support vector machines (SVM) that arise when the structural risk minimization principle is applied
Consensus Problems in Networks of Agents with Switching Topology and Time-Delays
, 2003
"... In this paper, we discuss consensus problems for a network of dynamic agents with fixed and switching topologies. We analyze three cases: i) networks with switching topology and no time-delays, ii) networks with fixed topology and communication time-delays, and iii) max-consensus problems (or leader ..."
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Cited by 1112 (21 self)
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in convergence analysis of consensus protocols. A distinctive feature of this work is to address consensus problems for networks with directed information flow. We provide analytical tools that rely on algebraic graph theory, matrix theory, and control theory. Simulations are provided that demonstrate
I-TCP: Indirect TCP for mobile hosts
, 1995
"... Abstract — IP-based solutions to accommodate mobile hosts within existing internetworks do not address the distinctive features of wireless mobile computing. IP-based transport protocols thus suffer from poor performance when a mobile host communicates with a host on the fixed network. This is cause ..."
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Cited by 614 (7 self)
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Abstract — IP-based solutions to accommodate mobile hosts within existing internetworks do not address the distinctive features of wireless mobile computing. IP-based transport protocols thus suffer from poor performance when a mobile host communicates with a host on the fixed network
The Current Distinctive Features of China’s
"... Urbanization has left deep imprint on social-economic construction, but at the same time raises many problems for policy makers. So this article analyzes the situation of urbanization in megacities, medium-sized and small cities in different periods based on the current situation, and proposes sever ..."
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Urbanization has left deep imprint on social-economic construction, but at the same time raises many problems for policy makers. So this article analyzes the situation of urbanization in megacities, medium-sized and small cities in different periods based on the current situation, and proposes several development strategy choices for the development of urbanization in China.
Distinctive feature fusion for recognition of Australian English consonants
- In Proceedings Interspeech 2008
, 2008
"... Audio-Visual Automatic Speech Recognition offers to make speech recognition possible in noisy environments. Early and late fusion approaches dominate the field but may ignore lin-guistically relevant features. Distinctive features offer an alter-native unit for fusion and research has shown that thi ..."
Abstract
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Cited by 1 (0 self)
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Audio-Visual Automatic Speech Recognition offers to make speech recognition possible in noisy environments. Early and late fusion approaches dominate the field but may ignore lin-guistically relevant features. Distinctive features offer an alter-native unit for fusion and research has shown
Results 11 - 20
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15,202