NDLI: Toward a Sequential Approach to Pipelined Image Recognition

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2013 12th International Conference on Machine Learning and Applications

2012 11th International Conference on Machine Learning and Applications

Volume 2 - 2012

[Title page I - Vol 2]

Table of contents - Vol 2

Preface - Volume 2

Conference Organization - Volume 2

Program Committee - Volume 2

Workshops and Special Sessions - Volume 2

Keynotes - Volume 2

Prognosis Based on Handling Drifts in Dynamical Environments: Application to a Wind Turbine Benchmark

A Machine Learning Based Topic Exploration and Categorization on Surveys

Error-Driven Adaptive, Virtual Machine Model-Based Control with High Availability Platform

Improving Image Segmentation Using Genetic Algorithm

The Importance of Outlier Relationships in Mobile Call Graphs

Toward a Sequential Approach to Pipelined Image Recognition

Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation

Estimating Software Effort Using an ANN Model Based on Use Case Points

Feature Extraction and Selection in Ground Penetrating Radar with Experimental Data Set of Inclusions in Concrete Blocks

Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection

Extraction of Strong Associations in Classes of Similarities

Generation of Tests for Programming Challenge Tasks on Graph Theory Using Evolution Strategy

Adaptive Selection of Helper-Objectives with Reinforcement Learning

Online Ensemble Learning Approach for Server Workload Prediction in Large Datacenters

A Sequential Ensemble Classification (SEC) System for Tackling the Problem of Unbalance Learning: A Case Study

Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection

Disturbing Neighbors Ensembles of Trees for Imbalanced Data

Evaluation of SMOTE for High-Dimensional Class-Imbalanced Microarray Data

An Experimental Design to Evaluate Class Imbalance Treatment Methods

One-Class versus Binary Classification: Which and When?

Multilevel Regression Models for Learning in the Presence of Rare Data

A Dynamic Sampling Framework for Multi-class Imbalanced Data

A Boosting Method for Learning from Uneven Data for Improved Face Recognition

The Class-Imbalance Problem for High-Dimensional Class Prediction

PQL: Protein Query Language

Risk Estimation in Spatial Disease Clusters: An RBF Network Approach

Novel Margin Features for Mammographic Mass Classification

Analyzing the Performance of Hierarchical Binary Classifiers for Multi-class Classification Problem Using Biological Data

First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques

Sampling-Based Subnetwork Identification from Microarray Data and Protein-Protein Interaction Network

Establishment of a Diagnostic Decision Support System in Genetic Dysmorphology

A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers

Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data

Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach

Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data

The Effect of Number of Iterations on Ensemble Gene Selection

Clinical Report Classification Using Natural Language Processing and Topic Modeling

A New, Principled Approach to Anomaly Detection

Web Spam: A Study of the Page Language Effect on the Spam Detection Features

A Web Based Face Counter Prediction System from Only Fingerprints

An Analysis of Machine Learning Methods for Spam Host Detection

A New Intelligent Steganalysis Method for Waveform Audio Files

On the Validity of a New SMS Spam Collection

Interactive Visual Classification of Multivariate Data

A New Axes Re-ordering Method in Parallel Coordinates Visualization

An Interactive Scatter Plot Metrics Visualization for Decision Trend Analysis

Fast Insight into High-Dimensional Parametrized Simulation Data

Cluster Analysis Using Improved Fuzzy c-Means Clustering for Object Localization: Vision Based Ill Cattle Localization System

Optimal Tile Size Selection Problem Using Machine Learning

A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction

Active Learning of Markov Decision Processes for System Verification

Machine Learning Module to Improve Communication between Agents in Multi-agent System

A Comparative Study on the Stability of Software Metric Selection Techniques

The State of Machine Learning Methodology in Software Fault Prediction

A Treeboost Model for Software Effort Estimation Based on Use Case Points

Fuzzy-ExCOM Software Project Risk Assessment

Cross-Domain Facial Expression Recognition Using Supervised Kernel Mean Matching

Automatic Identification of Crisis-Related Sub-events Using Clustering

Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context

Composer Classification in Symbolic Data Using PPM

Melodic Segmentation Using the Jensen-Shannon Divergence

Rethinking Automatic Chord Recognition with Convolutional Neural Networks

A Minimum Frame Error Criterion for Hidden Markov Model Training

Classification, Segmentation and Chronological Prediction of Cinematic Sound

Animal Cognition, Epistemic Fluency, Social Networks and the Scientific Habit of Mind

Hierarchical Classification Approach to Emotion Recognition in Twitter

Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets

Using Twitter Content to Predict Psychopathy

Large Scale URL-based Classification Using Online Incremental Learning

Machine Learning and Text Mining of Trophic Links

Spatial Feature Extraction for Classification of Nonstationary Myoelectric Signals

Maintaining Prior Distributions across Evolving Eigenspaces: An Application to Portfolio Construction

Adaptive soft sensor for online prediction based on moving window Gaussian process regression

Abrupt and Drift-Like Fault Diagnosis of Concurent Discrete Event Systems

Evolving Neural Fuzzy Network with Adaptive Feature Selection

Moving Object Detection in Aerial Video

An Extension of the Consensus-Based Bundle Algorithm for Multi-agent Tasks with Task Based Requirements

Artificial Intelligence Based Hybrid Structures for Short-Term Load Forecasting Without Temperature Data

A Cooperative Learning Scheme for Energy Efficient Routing in Wireless Sensor Networks

The Prediction of Monthly Average Solar Radiation with TDNN and ARIMA

Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations

Finding Motifs in Wind Generation Time Series Data

Position Control of a DC Motor Used in Solar Panels with Artificial Neural Network

Approach to Control of the Output Voltage in Renewable Energy Sources on the Basis of AE-method Using Genetic Algorithm

Application of Adaptive Artificial Neural Network Method to Model the Excitation Currents of Synchronous Motors

A Novel Neural Network Based Control Method with Adaptive On-Line Training for DC-DC Converters

Multivariate Assessment of a Repair Program for a New York City Electrical Grid

Unsupervised Disaggregation for Non-intrusive Load Monitoring

Excitation Current Forecasting for Reactive Power Compensation in Synchronous Motors: A Data Mining Approach

Monitoring and Determination of Wind Energy Potential by Web Based Wireless Network

Decision Level Fusion of Wavelet Features for Ocean Turbine State Detection

Exploiting Representational Diversity for Time Series Classification

Finding Survival Groups in SEER Lung Cancer Data

A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data

Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks

O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models

A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set

Face Recognition Challenge: Object Recognition Approaches for Human/Avatar Classification

Convolutional Neural Networks Applied to Human Face Classification

Learning Visual Features for the Avatar Captcha Recognition Challenge

Ensemble Feature Selection in Face Recognition: ICMLA 2012 Challenge

ICMLA Face Recognition Challenge -- Results of the Team Computational Intelligence Mittweida

Author Index - Volume 2

[Publisher's Information - Volume 2]

Volume 1 - 2012

2011 10th International Conference on Machine Learning and Applications and Workshops

2010 Ninth International Conference on Machine Learning and Applications

2009 International Conference on Machine Learning and Applications

2008 Seventh International Conference on Machine Learning and Applications

Sixth International Conference on Machine Learning and Applications (ICMLA 2007)

2006 5th International Conference on Machine Learning and Applications (ICMLA'06)

Fourth International Conference on Machine Learning and Applications (ICMLA'05)

2004 International Conference on Machine Learning and Applications, 2004. Proceedings.

Toward a Sequential Approach to Pipelined Image Recognition

Content Provider	IEEE Xplore Digital Library
Author	Rose, D. Arel, I.
Copyright Year	2012
Abstract	This paper introduces a sequentially motivated approach to processing streams of images from datasets with low memory demands. We utilize fuzzy clustering as an incremental dictionary learning scheme and explain how the corresponding membership functions can be subsequently used in encoding features for image patches. We focus on replicating the codebook learning and classification stages from an established visual learning pipeline that has recently shown efficacy on the CIFAR-10 small image dataset. Experiments show that performance near batch oriented learning is achievable by combining naturally online learning mechanisms driven largely by stochastic gradient descent with strictly patch-wise operations. We further detail how back propagation can be used with a neural network classifier to modify parameters within the pipeline.
Starting Page	30
Ending Page	35
File Size	259837
Page Count	6
File Format	PDF
ISBN	9781467346511
DOI	10.1109/ICMLA.2012.136
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Support vector machines Dictionaries sequential learning Prototypes neural networks Encoding Vectors Covariance matrix image recognition
Content Type	Text
Resource Type	Article

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