Results 1 - 10 of 237

The visual word form area: Expertise for reading in the fusiform gyrus. Trends in Cognitive Sciences,

by Bruce D Mccandliss , Laurent Cohen , Stanislas Dehaene , 2003
"... Brain imaging studies reliably localize a region of visual cortex that is especially responsive to visual words. This brain specialization is essential to rapid reading ability because it enhances perception of words by becoming specifically tuned to recurring properties of a writing system. The or ..."
Abstract - Cited by 163 (5 self) - Add to MetaCart
adults possess a special form of visual expertise that allows their visual system to process words efficiently. Within less than 250 ms of viewing a written word, the visual system extracts the information needed to identify its linguistic significance, despite wide variations in print, script, font

A sampling-based approach to optimizing top-k queries in sensor networks

by Adam Silberstein, Rebecca Braynard, Carla Ellis, Kamesh Munagala, Jun Yang - In ICDE , 2006
"... Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered sensors. When approximation is acceptable, a model-driven approach to query processing is effective in saving energy by a ..."
Abstract - Cited by 53 (3 self) - Add to MetaCart
and flexibility of our sampling-based approach by developing a series of top-k query planning algorithms with linear programming, which are capable of efficiently producing plans with better performance and novel features. We show that our approach is both theoretically sound and practically effective

A Novel Feature Extraction Method for Nonintrusive Appliance Load Monitoring

by Khaled Chahine , Khalil El , Khamlichi Drissi
"... Improving energy efficiency by monitoring household electrical consumption is of significant importance with the climate change concerns of the present time. A solution for the electrical consumption management problem is the use of a nonintrusive appliance load monitoring (NIALM) system. This syst ..."
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Improving energy efficiency by monitoring household electrical consumption is of significant importance with the climate change concerns of the present time. A solution for the electrical consumption management problem is the use of a nonintrusive appliance load monitoring (NIALM) system

An Energy Efficient Full-Frame Feature Extraction Accelerator With Shift-Latch FIFO in 28 nm CMOS

by Dongsuk Jeon, Student Member, Michael B. Henry, Yejoong Kim, Inhee Lee, Student Member, Zhengya Zhang, David Blaauw, Dennis Sylvester
"... Abstract—This paper presents an energy-efficient feature ex-traction accelerator design aimed at visual navigation. The hard-ware-oriented algorithmic modifications such as a circular-shaped sampling region and unified description are proposed to minimize area and energy consumption whilemaintaining ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract—This paper presents an energy-efficient feature ex-traction accelerator design aimed at visual navigation. The hard-ware-oriented algorithmic modifications such as a circular-shaped sampling region and unified description are proposed to minimize area and energy consumption

openEAR - Introducing the Munich Open-Source Emotion and Affect Recognition Toolkit

by Florian Eyben, Martin Wöllmer, Björn Schuller - In ACII , 2009
"... Various open-source toolkits exist for speech recognition and speech processing. These toolkits have brought a great benefit to the research community, i.e. speeding up research. Yet, no such freely available toolkit exists for automatic affect recognition from speech. We herein introduce a novel op ..."
Abstract - Cited by 85 (31 self) - Add to MetaCart
open-source affect and emotion recognition engine, which integrates all necessary components in one highly efficient software package. The components include audio recording and audio file reading, state-of-the-art paralinguistic feature extraction and plugable classification modules. In this paper we

A Semantically-Adaptive Strategy for Energy- Efficiency in Wireless Medical Monitoring Devices

by Vishwa Goudar, Miodrag Potkonjak
"... Abstract—We propose a novel strategy for energy-efficient operation of wireless monitoring devices under the premise that medical experts are primarily interested in atypical observations- For epilepsy monitoring, EEG data is most valuable at epileptic activity onset. Or, a gait-stability monitoring ..."
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Abstract—We propose a novel strategy for energy-efficient operation of wireless monitoring devices under the premise that medical experts are primarily interested in atypical observations- For epilepsy monitoring, EEG data is most valuable at epileptic activity onset. Or, a gait

The 1st International Workshop "Feature Extraction: Modern Questions and Challenges" FEAST at Play: Feature ExtrAction using Score function Tensors

by Majid Janzamin , Hanie Sedghi , U N Niranjan , Animashree Anandkumar
"... Abstract Feature learning forms the cornerstone for tackling challenging learning problems in domains such as speech, computer vision and natural language processing. In this paper, we build upon a novel framework called FEAST(Feature ExtrAction using Score function Tensors) which incorporates gene ..."
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generative models for discriminative learning. FEAST considers a novel class of matrix and tensor-valued feature transform, which can be pre-trained using unlabeled samples. It uses an efficient algorithm for extracting discriminative information, given these pre-trained features and labeled samples for any

SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis

by Deng Cai, Student Member, Xiaofei He, Jiawei Han, Senior Member - IEEE Transactions on Knowledge and Data Engineering , 2008
"... Abstract—Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by maximizing the between-class covariance and simultaneously minimizing the within-class covariance. It has been wid ..."
Abstract - Cited by 32 (1 self) - Add to MetaCart
Oðmnt þ t3Þ time complexity and requires Oðmn þ mt þ ntÞ memory, where m is the number of samples, n is the number of features, and t minðm; nÞ. When both m and n are large, it is infeasible to apply LDA. In this paper, we propose a novel algorithm for discriminant analysis, called Spectral Regression

Local sampling for indoor flight.

by G. C. H. E. Croon, C. Wagter, B. Remes, R. Ruijsink
"... A challenging problem in artificial intelligence is to achieve vision-based autonomous indoor flight with Micro Air Vehicles. Approaches to this problem currently do not make use of image appearance features, because these features generally are computationally expensive. In this article, we deliver ..."
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deliver a proof-ofconcept that appearance features can be extracted computationally efficient enough to be used for autonomous flight. In particular, we present a novel height control algorithm that uses local sampling; it estimates the height at which an image is taken by processing small image patches

A Novel Pre-processing Technique for DCTdomain Palm-print Recognition

by Hafiz Imtiaz, Shubhra Aich, Shaikh Anowarul Fattah
"... Abstractó In this paper, a novel pre-processing algorithm is introduced to identify the principal lines from a palm-print image and a discrete cosine transform (DCT) domain feature extraction algorithm is then employed for palm-print recognition, which can efficiently capture the spatial variations ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstractó In this paper, a novel pre-processing algorithm is introduced to identify the principal lines from a palm-print image and a discrete cosine transform (DCT) domain feature extraction algorithm is then employed for palm-print recognition, which can efficiently capture the spatial variations
Results 1 - 10 of 237