• Publications
  • Influence
Relative spatial features for image memorability
Recent studies in image memorability showed that the memorability of an image is a measurable quantity and is closely correlated with semantic attributes. However, the intrinsic characteristics ofExpand
  • 28
  • 3
  • PDF
Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms
Computer aided diagnosis (CADx) systems for digitized mammograms solve the problem of classification between benign and malignant tissues while studies have shown that using only a subset of featuresExpand
  • 33
  • 2
  • PDF
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty
We propose new methods to speed up convergence of the Alternating Direction Method of Multipliers (ADMM), a common optimization tool in the context of large scale and distributed learning. TheExpand
  • 41
  • 2
  • PDF
k-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification
Top Scoring Pair (TSP) and its ensemble counterpart, k-Top Scoring Pair (k-TSP), were recently introduced as competitive options for solving classification problems of microarray data. However,Expand
  • 13
  • 2
Mass Lesions Classification in Digital Mammography using Optimal Subset of BI-RADS and Gray Level Features
Computer-aided diagnosis of mass lesions in Digital Database for Screening Mammography (DDSM) is investigated using a recently developed SVM based on recursive feature elimination (SVM-RFE) as theExpand
  • 8
  • 2
Sentiment Flow for Video Interestingness Prediction
Computational analysis and prediction of digital media interestingness is a challenging task, largely driven by subjective nature of interestingness. Several attempts were made to construct aExpand
  • 12
  • 1
  • PDF
TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task
This paper presents our approaches for the MediaEval Emotional Impact of Movies Task. We employed features from image frames and audio signal. We use support vector regression for the learning andExpand
  • 3
  • 1
  • PDF
AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM
  • Sejong Yoon, Saejoon Kim
  • Computer Science, Medicine
  • IEEE International Conference on Bioinformatics…
  • 3 November 2009
BackgroundDigital mammography is one of the most promising options to diagnose breast cancer which is the most common cancer in women. However, its effectiveness is enfeebled due to the difficulty inExpand
  • 15
Object-Centric Scene Understanding for Image Memorability Prediction
Computational image memorability prediction has made significant progress in recent years. It is reported that we can robustly estimate the memorability of images with many different object and sceneExpand
  • 3
Decentralized Approximate Bayesian Inference for Distributed Sensor Network
Bayesian models provide a framework for probabilistic modelling of complex datasets. Many such models are computationally demanding, especially in the presence of large datasets. In sensor networkExpand
  • 11
  • PDF