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Title: Learning a Propagable Graph for Semisupervised Learning Classification and Regressi
Page Link: Learning a Propagable Graph for Semisupervised Learning Classification and Regressi -
Posted By: harisharju
Created at: Thursday 05th of October 2017 04:19:17 AM
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Abstract In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propose ....etc

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Title: Icici bank learning matrix all topics answer keyIcici bank learning matrix all topics
Page Link: Icici bank learning matrix all topics answer keyIcici bank learning matrix all topics -
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Created at: Saturday 18th of April 2020 09:17:43 PM
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Title: keys of e learning module of learning matrix
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Posted By: sajith4ever
Created at: Thursday 17th of August 2017 05:33:28 AM
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Title: unsupervised image segmentation matlab code
Page Link: unsupervised image segmentation matlab code -
Posted By: parvathi_snair
Created at: Friday 06th of October 2017 02:55:55 PM
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We present a new unsupervised algorithm to discover and segment out common objects from large and diverse image collections. In contrast to previous co-segmentation methods, our algorithm performs well even in the presence of significant amounts of noise images (images not containing a common object), as typical for datasets collected from Internet search. The key insight to our algorithm is that common object patterns should be salient within each image, while being sparse with respect to smooth transformations across other images. We propose ....etc

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Title: Unsupervised Learning of Probabilistic Object Models
Page Link: Unsupervised Learning of Probabilistic Object Models -
Posted By: priyababa
Created at: Thursday 17th of August 2017 06:45:42 AM
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Unsupervised Learning of Probabilistic Object Models


INTRODUCTION
RECENT work on object classification and recognition has
tended to represent objects in terms of spatial configurations
of features at a small number of interest points ,
, , , , . Such models are computationally efficient,
for both learning and inference, and can be very effective for
tasks such as classification. But they have two major
disadvantages: 1) the sparseness of their representations
re ....etc

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Title: learning to identify emotions in text
Page Link: learning to identify emotions in text -
Posted By: vipindasmr
Created at: Thursday 17th of August 2017 04:42:11 AM
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Learning to Identify Emotions in Text

ABSTRACT
This paper describes experiments concerned with the automatic
analysis of emotions in text. We describe the construction
of a large data set annotated for six basic emotions:
anger, disgust, fear, joy, sadness and surprise, and we
propose and evaluate several knowledge-based and corpusbased
methods for the automatic identification of these emotions
in text.
Categories and Subject Descriptors
I.2.7 : Text analysis
General Terms
A ....etc

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Title: e-learning project in java and aspnet ideas
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Posted By: Nandu
Created at: Thursday 17th of August 2017 04:43:37 AM
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1. Study and Design on Data Management Model of SQL Server CE For Mobile Application
2. The Role of Cognitive Styles in Investigating ELearning Usability
3. Knowledge Acquisition, Sharing Intention, and Sharing Behavior
4. Global Featurebased Image Classification and Recognition In Small Sample Size Problem
5. Podcast in Higher Education: Students Experience and Assessment
6. Development of an ELearning ContentMaking System for Information Security ELSEC and Its Application to AntiPhishing Education ....etc

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Title: E-Learning Learning Through Internet
Page Link: E-Learning Learning Through Internet -
Posted By: swarna
Created at: Thursday 05th of October 2017 03:56:56 AM
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Abstract:
This paper presents an approach for integrating e-learning with the traditional education system. A conceptual map is then created for this integration leading to a functional model for open and flexible learning. In the proposed integration, convergence of CD-based, class based and web based education in recommended and architecture to achieve this convergence is presented. In order to transform the existing schools, colleges and universities into digital campuses, an inclusive system architecture is designed for digital campus. A c ....etc

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Title: vtu e learning 6th sem notes of transportation engg 2
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Posted By: ravi0537`
Created at: Thursday 17th of August 2017 04:50:25 AM
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vtu e learning 6th sem notes of transportation engg 2

We live in a world that is constantly changing. The presence of computers has revolutionized the world. Computers have brought in a host of new technologies for education. Learning has changed as well. Starting from the ancient guru-kula system to the formal classroom learning in schools to distance education, the process of learning in education has come a long way. e-Education is the process of learning where computers are used at each possible step of the process: enrollment, instruction ....etc

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Title: Sparse Bayesian Learning Of Filters For Efficient Image Expansion
Page Link: Sparse Bayesian Learning Of Filters For Efficient Image Expansion -
Posted By: vigi
Created at: Thursday 17th of August 2017 04:43:37 AM
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Sparse Bayesian Learning Of Filters For Efficient Image Expansion

Image Processing- Dotnet

We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned interpolators are compact yet superior to classical ones. ....etc

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