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USING SUPERVISED DEEP LEARNING FOR HUMAN AGE ESTIMATION PROBLEM
Machine Learning Age Estimation Supervised Deep Learning Active Appearance Model Bio-Inspired Feature Support Vector
2017/5/15
Automatic facial age estimation is a challenging task upcoming in recent years. In this paper, we propose using the supervised deep learning features to improve an accuracy of the existing age estimat...
Learning Representations for Weakly Supervised Natural Language Processing Tasks
Natural Language word
2015/9/14
Finding the right representations for words is critical for building accurate NLP systems when
domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
A Supervised Learning Approach to Acronym Identification
acronym identification supervised learning
2015/8/3
This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually generated rules or regular expressions. In this...
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
SATELLITE IMAGE SIMULATIONS FOR MODEL-SUPERVISED, DYNAMIC RETRIEVAL OF CROP TYPE AND LAND USE INTENSITY
M4Land land management classification system Sentinel
2015/5/6
To support food security, information products about the actual cropping area per crop type, the current status of agricultural production and estimated yields, as well as the sustainability of the ...
Generalized Expectation Criteria for Lightly Supervised Learning
generalized expectation lightly supervised
2014/12/18
Machine learning has facilitated many recent advances in natural language processing and information extraction. Unfortunately, most machine learning methods rely on costly labeled data, which impedes...
Weakly Supervised Learning for Unconstrained Face Processing
deep learning face alignment face recognition machine learning unsupervised alignment unsupervised learning
2014/12/18
Machine face recognition has traditionally been studied under the assumption of a carefully controlled image acquisition process. By controlling image acquisition, variation due to factors such as pos...
Automating Crowd-supervised Learning for Spoken Language Systems
Automating Crowd-supervised Learning Spoken Language Systems
2014/11/27
Spoken language systems often rely on static speech recognizers. When the underlying models are improved on-the-fly,training is usually performed using unsupervised methods. In this work, we explore a...
Supervised Blockmodelling
Collective Classication Supervised Learning,Blockmod-elling Node Classication Statistical Network Analysis
2012/9/26
Collective classification models attempt to improve classification performance by taking into account the class labels of related instances. However, they tend not to learn patterns of interactions be...
Treat samples differently: Object tracking with semi-supervised online CovBoost
Object tracking semi-supervised CovBoost
2011/11/2
Most feature selection methods for object tracking assume that the labeled samples obtained in the next framesfollow the similar distribution with the samples in the previous frame. However, this assu...
Hiding Sensitive XML Association Rules With Supervised Learning Technique
XML Document Association Rules Bayesian Network PPDM Model NP-Hard K2 Algorithm
2011/10/31
In the privacy preservation of association rules, sensitivity analysis should be reported after the quantification of items in terms of their occurrence. The traditional methodologies, used for preser...
Supervised Fuzzy Mixture of Local Feature Models
Adaptive Fuzzy Mixture Supervised Clustering Local Feature Model PCA ICA Phase Transition Fuzzy Parametric Clustering Real-Coded Genetic Algorithm
2011/4/29
This paper addresses an important issue in model combination, that is, model locality. Since usually a global linear model is unable to reflect nonlinearity and to characterize local features, especia...
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Visual Tracking Weakly Supervised Multiple Imperfect Oracles
2010/6/30
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems.To solve them, most top-performing method...
A Hierarchical Image Annotation Method Based on SVM andSemi-Supervised EM
Hierarchical image annotation support vector machine(SVM) semi-supervised expectation-maximization
2010/2/8
Automatic image annotation, which aims at automatically
identifying and then assigning semantic keywords to the meaningful
objects in a digital image, is not a very difficult task for human
but has...
Semi-Supervised Discriminant Analysis via Spectral Transduction
Semi-Supervised Discriminant Analysis Spectral Transduction
2009/12/31
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 from serious ...