Proposal for a Pattern Matching Task Controller for Sensor-Based Coordination of Robot Motions

1993 ◽  
pp. 445-455
Author(s):  
Martin Brooks
Keyword(s):  
Pattern Matching ◽  
Matching Task

scholarly journals Menstrual cycle effects on pattern matching task

1991 ◽  
Vol 27 (Supplement) ◽  
pp. 96-97
Author(s):  
C. Nakatani ◽  
N. Sato ◽  
M. Matsui ◽  
M. Matsunami ◽  
M. Kumashiro
Keyword(s):  
Menstrual Cycle ◽  
Pattern Matching ◽  
Matching Task

Recognition of Complex Auditory-Spatial Patterns

Perception ◽  
1993 ◽  
Vol 22 (3) ◽  
pp. 363-374 ◽  
Author(s):  
Stephen Lakatos
Keyword(s):  
Pattern Recognition ◽  
Pattern Matching ◽  
Spatial Patterns ◽  
Spatial Hearing ◽  
Matching Task ◽  
Spatial Representations ◽  
Recognition Ability ◽  
Sequential Activation

Two experiments were carried out to investigate the perception of complex auditory-spatial patterns. Subjects were asked to identify alphanumeric characters whose patterns could be outlined acoustically through the sequential activation of specific units in a speaker array. Signal bandwidths were varied systematically in both experiments. Signals in experiment 1 had sharp onsets and offsets; envelope shapes in experiment 2 were much more gradual. Subjects showed considerable ability in recognizing alphanumeric patterns traced with signals of varying acoustical composition. Reductions in the steepness of signal attack and decay produced limited declines in pattern recognition ability. Systematic trends in the relation between patterns and the distribution of incorrect responses suggest that subjects performed a pattern-matching task, in which identifications were made on the basis of component features. The unexpected pattern recognition abilities that subjects demonstrated in both experiments suggest that spatial hearing, like vision, has access to mechanisms for amodal spatial representations.

scholarly journals Characterizing Human Expertise Using Computational Metrics of Feature Diagnosticity in a Pattern Matching Task

2016 ◽  
Vol 41 (7) ◽  
pp. 1716-1759 ◽  
Author(s):  
Thomas Busey ◽  
Dimitar Nikolov ◽  
Chen Yu ◽  
Brandi Emerick ◽  
John Vanderkolk
Keyword(s):  
Pattern Matching ◽  
Matching Task

VLSI ARCHITECTURES FOR PATTERN MATCHING

1994 ◽  
Vol 08 (04) ◽  
pp. 815-843 ◽  
Author(s):  
N. RANGANATHAN ◽  
RAGHU SASTRY
Keyword(s):  
Computer Vision ◽  
Parallel Processing ◽  
Pattern Matching ◽  
Matching Task ◽  
Two Dimensional ◽  
Vlsi Architectures ◽  
Hardware Implementations ◽  
Speed Up ◽  
Computationally Intensive ◽  
Matching Techniques

The recognition of patterns is an important task in robot and computer vision. The patterns themselves could be one- or two-dimensional, depending upon the application. Pattern matching is a computationally intensive and time consuming operation. The design of special purpose hardware could speed up the matching task considerably, making real-time responses possible. Advances in parallel processing and VLSI technologies have made it possible to implement inexpensive, efficient and very fast custom designs. Many approaches and solutions have been proposed in the literature for hardware implementations of pattern matching techniques. In this paper, we present a detailed overview of some of the important contributions in the area of hardware algorithms and architectures for pattern matching.

scholarly journals Menstrual cycle effects on pattern matching task

1991 ◽  
Vol 27 (Supplement) ◽  
pp. 98-99
Author(s):  
N. Sato ◽  
C. Nakatani ◽  
M. Matsui ◽  
M. Matsunami ◽  
S. Miyake ◽  
...  
Keyword(s):  
Menstrual Cycle ◽  
Pattern Matching ◽  
Matching Task

Complexity of Matching Sets of Two-Dimensional Patterns by Two-Dimensional On-Line Tessellation Automaton

2017 ◽  
Vol 28 (05) ◽  
pp. 623-640
Author(s):  
Daniel Průša
Keyword(s):  
Cellular Automaton ◽  
Pattern Matching ◽  
Lower Bounds ◽  
Matching Task ◽  
Two Dimensional ◽  
Pattern Complexity ◽  
On Line ◽  
Picture Languages

We study the two-dimensional pattern matching implemented using the deterministic two-dimensional on-line tessellation automaton. This restricted two-dimensional cellular automaton is able to simulate the Baker–Bird algorithm, which was proposed as the first algorithm for the two-dimensional pattern matching. We explore capabilities of this automaton to carry out the matching task against an arbitrary set of equal-sized patterns. To measure amount of resources needed to accomplish it, we introduce the pattern complexity of a picture language. We show that this complexity ranges from a constant to exponential one. All of these are illustrated by giving examples of two-dimensional on-line tessellation automata matching sets of patterns, describing general techniques of how to construct them and proving lower bounds on the pattern complexity of some picture languages as well as operations over them.

scholarly journals Detecting Emotions through Pitch and Formants for South Kamrupi Dialect of Assamese Language

2019 ◽  
Vol 8 (9) ◽  
pp. 833-836
Keyword(s):  
Pattern Recognition ◽  
Pattern Matching ◽  
Speech Processing ◽  
Recognition System ◽  
Matching Task ◽  
Speech Communication ◽  
Human Beings ◽  
Voice Signal ◽  
Speech Features ◽  
Assamese Language

Speech is a form of voice signal that propagates through atmosphere and human beings communicate primarily through the exchange of speech. Along with their thoughts, human also expresses their emotions while communicating through the speech. Spoken dialects are the most native forms of speech communication and emotion is expressed very effectively through it. Speech is digitized to use it for speech processing. The speech processing task mostly comprises of feature extraction and pattern recognition. Pitch and Formants are two most fundamental speech features through which emotions can be modeled. Modeling emotion is a pattern matching task. This paper describes a successful empirical study of Pitch and Formants based emotion recognition system on the widely spoken, colloquial South Kamrupi dialect of Assamese language.

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