Papers Multi-Label Classification
“Multi-Label Classification” 태그가 달린 논문 1,337편 · 필터 해제
Food Ingredients Recognition through Multi-label Learning
Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet. We tackle the problem of food ingredients recognition as a multi-label learning problem. We propose a me…
Multi-Label ClassificationMulti-Label LearningNaive Bayes Classification for Subset Selection
This article focuses on the question of learning how to automatically select a subset of items among a bigger set. We introduce a methodology for the inference of ensembles of discrete values, based on the Naive Bayes as…
ClassificationGeneral ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONOrder-Free RNN with Visual Attention for Multi-Label Classification
In this paper, we propose the joint learning attention and recurrent neural network (RNN) models for multi-label classification. While approaches based on the use of either model exist (e.g., for the task of image captio…
ClassificationGeneral ClassificationImage CaptioningMulti-Label Classification+1Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization
The cooperative hierarchical structure is a common and significant data structure observed in, or adopted by, many research areas, such as: text mining (author-paper-word) and multi-label classification (label-instance-f…
Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATIONTopic ModelsAggregating Frame-level Features for Large-Scale Video Classification
This paper introduces the system we developed for the Google Cloud & YouTube-8M Video Understanding Challenge, which can be considered as a multi-label classification problem defined on top of the large scale YouTube-8M …
ClassificationGeneral ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+2Learning Deep Latent Spaces for Multi-Label Classification
Multi-label classification is a practical yet challenging task in machine learning related fields, since it requires the prediction of more than one label category for each input instance. We propose a novel deep neural …
ClassificationGeneral ClassificationMissing LabelsMulti-Label Classification+1Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset
YouTube-8M is the largest video dataset for multi-label video classification. In order to tackle the multi-label classification on this challenging dataset, it is necessary to solve several issues such as temporal modeli…
ClassificationGeneral ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+1User Intent Classification using Memory Networks: A Comparative Analysis for a Limited Data Scenario
In this report, we provide a comparative analysis of different techniques for user intent classification towards the task of app recommendation. We analyse the performance of different models and architectures for multi-…
General Classificationintent-classificationIntent ClassificationMulti-Label Classification+1Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks
We consider the effect of introducing a curriculum of targets when training Boolean models on supervised Multi Label Classification (MLC) problems. In particular, we consider how to order targets in the absence of prior …
Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATIONGenerative-Discriminative Variational Model for Visual Recognition
The paradigm shift from shallow classifiers with hand-crafted features to end-to-end trainable deep learning models has shown significant improvements on supervised learning tasks. Despite the promising power of deep neu…
ClassificationGeneral ClassificationmodelMulti-class Classification+3Learning Structured Semantic Embeddings for Visual Recognition
Numerous embedding models have been recently explored to incorporate semantic knowledge into visual recognition. Existing methods typically focus on minimizing the distance between the corresponding images and texts in t…
General ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONWord Embeddings+1A Network Perspective on Stratification of Multi-Label Data
In the recent years, we have witnessed the development of multi-label classification methods which utilize the structure of the label space in a divide and conquer approach to improve classification performance and allow…
ClassificationCommunity DetectionGeneral ClassificationMulti-Label Classification+1Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models
Background: In this paper we present the approaches and methods employed in order to deal with a large scale multi-label semantic indexing task of biomedical papers. This work was mainly implemented within the context of…
ArticlesBIG-bench Machine LearningGeneral ClassificationMulti-Label Classification+1HPSLPred: An Ensemble Multi-label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source
Predicting the subcellular localization of proteins is an important and challenging problem. Traditional experimental approaches are often expensive and time-consuming. Consequently, a growing number of research efforts …
ClassificationGeneral ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONDeep Extreme Multi-label Learning
Extreme multi-label learning (XML) or classification has been a practical and important problem since the boom of big data. The main challenge lies in the exponential label space which involves $2^L$ possible label sets …
ClassificationExtreme Multi-Label ClassificationGeneral ClassificationMulti-Label Classification+2MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification
Multi-Label Classification toolbox is a MATLAB/OCTAVE library for Multi-Label Classification (MLC). There exists a few Java libraries for MLC, but no MATLAB/OCTAVE library that covers various methods. This toolbox offers…
ClassificationClusteringDimensionality ReductionGeneral Classification+2Discourse Relations and Conjoined VPs: Automated Sense Recognition
Sense classification of discourse relations is a sub-task of shallow discourse parsing. Discourse relations can occur both across sentences (\textit{inter-sentential}) and within sentences (\textit{intra-sentential}), an…
ClassificationDiscourse ParsingGeneral ClassificationMulti-Label ClassificationNear Perfect Protein Multi-Label Classification with Deep Neural Networks
Artificial neural networks (ANNs) have gained a well-deserved popularity among machine learning tools upon their recent successful applications in image- and sound processing and classification problems. ANNs have also b…
BIG-bench Machine LearningClassificationGeneral ClassificationMulti-Label Classification+1Learning with Privileged Information for Multi-Label Classification
In this paper, we propose a novel approach for learning multi-label classifiers with the help of privileged information. Specifically, we use similarity constraints to capture the relationship between available informati…
Action Unit DetectionClassificationFacial Action Unit DetectionGeneral Classification+4Topic Identification for Speech without ASR
Modern topic identification (topic ID) systems for speech use automatic speech recognition (ASR) to produce speech transcripts, and perform supervised classification on such ASR outputs. However, under resource-limited c…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)General ClassificationMulti-Label Classification+3