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...

Ngày tải lên: 10/09/2015, 09:21

... 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...

Ngày tải lên: 12/09/2015, 09:03

... 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...

Ngày tải lên: 23/03/2014, 18:20

... 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...

Ngày tải lên: 20/02/2014, 09:20

... 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...

Ngày tải lên: 20/02/2014, 09:20

... 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...

Ngày tải lên: 07/03/2014, 23:20

... 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...

Ngày tải lên: 08/03/2014, 00:20

... 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...

Ngày tải lên: 17/03/2014, 04:20

... 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,...

Ngày tải lên: 23/03/2014, 16:21

... 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...

Ngày tải lên: 23/03/2014, 18:20

... (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...

Ngày tải lên: 31/03/2014, 00:20

... 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...

Ngày tải lên: 31/03/2014, 03:20

... 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...

Ngày tải lên: 21/06/2014, 08:20

... 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...

Ngày tải lên: 22/06/2014, 06:20

... 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...

Ngày tải lên: 23/06/2014, 01:20