Multi label learning for semantic image annotation
Multi label learning for semantic image annotation
... 1.1.1 Semantic Image Annotation 1.1.2 Single -Label Learning for Semantic Image Annotation Multi- Label Learning for Semantic Image Annotation 1.2.1 Multi- Label Learning ... single -label learning, multi- label learning and semi-supervised learning before delving deep into the proposed models of multi- label learning for semantic image...
Bayesian learning of concept ontology for automatic image annotation
... ix List of Tables 2.1 Published results of state -of- the-art AIA models …………………………….29 2.2 The average number of training images for each class of CMRM…………….30 3.1 Performance comparison of a few ... two strategies of Top N_P and LM (Likelihood Measure) to filter out the low-quality additional images for a concept class by checking the ‘goodness’ of concept annotations...
Báo cáo khoa học: "Text Analysis for Automatic Image Annotation" doc
... is the best of the models for entity annotation which have been evaluated Related Research Using text that accompanies the image for annotating images and for training image recognition is not ... appearing in the image than less important persons Because of the short lengths of the documents in our corpus, an analysis of lexical cohesion between terms in the text will not be su...
Tài liệu Báo cáo khoa học: "Multi-Task Active Learning for Linguistic Annotations" pdf
... multi-task active learning (MTAL), an active learning paradigm for multiple annotation tasks We propose a new AL framework where the examples to be annotated are selected so that they are as informative ... selection performed about the same as random selection for the NE task, while for the parsing task extrinsic selection performed markedly worse This shows that examples that...
Tài liệu Báo cáo khoa học: "Demonstration of the UAM CorpusTool for text and image annotation" docx
... images instead of text files In this context, one can swipe regions of the image to create a selection, and assign features to the selection Since stand-off annotation is used for both text and ... embedding of segments Annotated texts are stored using stand-off XML, one file per source text and layer See Figure for a sample The software does not currently input...
LabelMe: a database and web-based tool for image annotation pdf
... gnawer, gnawing animal; placental, placental mammal, eutherian, eutherian mammal; mammal, mammalian; vertebrate, craniate; chordate; animal, animate being, beast, brute, creature, fauna; organism, ... evaluation To achieve this, we developed a web-based tool that allows easy image annotation and instant sharing of such annotations Using this annotation tool, we have collected...
Báo cáo khoa học: "Heterogeneous Transfer Learning for Image Clustering via the Social Web" docx
... F, but also the correlation between text features W and image features F Therefore, the auxiliary socially-annotated image data can be used to help the target image clustering performance by ... (Hofmann, 2001) to image analysis (Sivic et al., 2005) 2.2 Other Works in Transfer Learning In the past, several other works made use of transfer learning for cross-feature...
Báo cáo khoa học: "Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus" docx
... algorithm, we performed two ablation studies First, we compared the performance of λ-WASP with and without conjunct regrouping (Section 4) Second, we compared the performance of λ-WASP with and without ... a logical form into subformulas (and terms into subterms) Figure 2(a) shows a sample parse tree of a logical form, where each CFG production corresponds to a subformula The Semantic...
Báo cáo khoa học: "Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction" pot
... semi-supervised learning, here we not include semi-supervised learning as a baseline A multi-task transfer learning solution We now present a multi-task transfer learning solution to the weakly-supervised relation ... classifier for any relation type Another existing solution to weakly-supervised learning problems is semi-supervised learning, e.g bootstrapping However,...
Báo cáo khoa học: "Learning Predictive Structures for Semantic Role Labeling of NomBank" pptx
... and H T Ng 2006 Semantic role labeling of NomBank: A maximum entropy approach In Proc of EMNLP K C Litkowski 2004 Senseval-3 task: automatic labeling of semantic roles In Proc of SENSEVAL-3 A ... M Palmer 2004 Calibrating features for semantic role labeling In Proc of EMNLP N Xue 2006 Semantic role labeling of nominalized predicates in Chinese In Proc of...
Báo cáo khoa học: "Assessing the Costs of Sampling Methods in Active Learning for Annotation" potx
... (1996) in the implementation of vote entropy for sentence selection using these models When comparing the relative performance of AL algorithms, learning curves can be challenging to in6 7 terpret ... Thus, in POS tagging both the benefit (increase in accuracy) and cost of annotating a sentence depend not only on properties of the sentence but also on the order in...
Báo cáo khoa học: "Multi-Criteria-based Active Learning for Named Entity Recognition" ppt
... informative for current model 2.1.2 Informativeness Measure for Named Entity Based on the above informativeness measure for a word, we compute the overall informativeness degree of a named entity ... criteria all together for active learning Furthermore, such measures and strategies can be easily adapted to other active learning tasks as well Multi-criteria for NER...
Báo cáo hóa học: " Research Article Feature-Based Image Comparison for Semantic Neighbor Selection in Resource-Constrained Visual Sensor Networks" doc
... techniques used for image comparison in VSNs and those developed for general Content-Based Image Retrieval (CBIR) systems 2.1 Feature-Based Image Comparison In computer vision terminologies, image feature ... of the feature-based image comparison method; Section concludes this paper This paper studies the feature-based image comparison method for s -neighbo...
Báo cáo hóa học: "Research Article Combining Low-Level Features for Semantic Extraction in Image Retrieval" pptx
... cascaded combination They aimed at combining the output of five different expert classifiers trained using three different low-level features In the system introduced in [12], several low-level image primitives ... be contained in a single object and large enough to convey information about the underlying semantic object The proposed framework for object-based semantic imag...
Báo cáo hóa học: "Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction" docx
... sequence Semantic video objects Semantic partition Region partition Figure 1: The interaction between low-level (region partition) and high-level (semantic partition) image analysis results is ... Semantic Video Object Extraction example shows that defining semantic video objects is a complex and sometimes delicate task The process of identifying and tracking t...
Từ khóa:
- methods in active learning for annotation
- a generative probabilistic model for multi label classification
- a machine learning approach for nonblind image deconvolution
- heterogeneous transfer learning for image clustering via the social web
- a calculus for semantic
- a logic for semantic
- an integrated framework for semantic
- a foundation for semantic interpretation
- joint learning improves semantic