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Extracting References Between Text and Charts via Crowdsourcing
visualization crowdsourcing interactive documents
2016/5/24
News articles, reports, blog posts and academic papers often
include graphical charts that serve to visually reinforce
arguments presented in the text. To help readers better understand
the relatio...
Unsupervised Spoken Keyword Spotting via Segmental DTW on Gaussian Posteriorgrams
Unsupervised Spoken Keyword Spotting Segmental DTW Gaussian Posterior Grams
2014/11/27
In this paper, we present an unsupervised learning framework to address the problem of detecting spoken keywords. Without any transcription information, a Gaussian Mixture Model is trained to label sp...
Robust Object Tracking via Inertial Potential based Mean Shift
Object tracking mean shift motion modeling probabilistic approximation
2013/7/24
We present a novel mean shift approach in this paper forrobust object tracking based on an inertial potential model.Conventional mean shift based trackers exploit only appear-ance information of obser...
Random Partial Paired Comparison for Subjective Video Quality Assessment via HodgeRank ∗
Subjective Video Quality Assessment HodgeRank, Random Graphs Persistence Homology
2013/7/24
Subjective visual quality evaluation provides the groundtruth and source of inspiration in building objective visualquality metrics. Paired comparison is expected to yieldmore reliable results; howeve...
Abstract—The linear regression model is a very attractive toolto design effective image interpolation schemes. Some regression-based imageinterpolation algorithms have been proposedin the literature, ...
Adaptive Image Deblurring via Tanner Graph Representation and Belief Propagation
Adaptive Representation Belief Propagation
2013/7/24
Image deblurring aims to counteract the effect of point spread function (PSF) inimperfect image formation system. Conventional solutions include frequency-domainapproaches (e.g. Wiener filtering...
Learning Image Vicept Description via Mixed-Norm Regularization for Large Scale Semantic Image Search
Vicept Description via Mixed-Norm Regularization Large Scale
2013/7/24
The paradox of visual polysemia and concept polymorphism has been a great challenge in the large scale semanticimage search. To address this problem, our paper proposesa new method to generate image V...
CONTOUR TRACKING VIA ON-LINE DISCRIMINATIVE APPEARANCE MODELING BASED LEVEL SETS
Contour tracking level set appearance modeling curve evolution
2013/7/24
A novel level set method based on on-line discriminativeappearance modeling (DAMLSM) is presented for contourtracking. In contrast with traditional level set models whichemphasize the intensity consis...
This paper presents a novel intra prediction algorithm, named position-dependent filtering (PDF), toimprove the intra prediction accuracy. Different from the existing schemes where the samples a...
Prediction of Daily Maximum Temperatures Via Fuzzy Sets
Estimation fuzzy associative memory fuzzy rule base temperature
2009/10/13
Fuzzy rule based modeling and fuzzy sets theory are examined in terms of their general characteristics.Fuzzy models are relatively very new in atmospheric science. Herein such a model is developed for...
Semi-Supervised Discriminant Analysis via Spectral Transduction
Semi-Supervised Discriminant Analysis via Spectral Transduction
2013/7/16
Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction and classification. In real-world applications when there is no sufficient labeled data, LDA suffers fro...
Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification
Myoelectric signals artificial neural networks classification
2009/7/27
The aim of this study is to classify electromyogram (EMG) signals for controlling multifunction proshetic devices. An artificial neural network (ANN) implementation was used for this purpose. Autoregr...
Low-Resolution Face Recognition via Coupled Locality Preserving Mappings
Coupled locality preserving mappings face recognition low-resolution
2013/7/16
Practical face recognition systems are sometimes confronted with low-resolution face images. Traditional two-step methods solve this problem through employing super-resolution (SR). However, these met...
PEDESTRIAN DETECTION VIA LOGISTIC MULTIPLE INSTANCE BOOSTING
pedestrian detection multiple instance learning boosting object detection machine learning
2013/7/17
Pedestrian detection in still image should handle the large appearance and pose variations arising from the articulated structure and various clothing of human bodies as well as view points. So it is ...
Recovering 3D Facial Shape via Coupled 2D/3D Space Learning
Recovering 3D Facial Shape via Coupled 2D/3D Space Learning
2013/7/17
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes.With a coupled training set, the in...
