Long Length Document Classification by Local Convolutional Feature Aggregation
نویسندگان
چکیده
منابع مشابه
BULAT, TZIMIROPOULOS: CONVOLUTIONAL AGGREGATION OF LOCAL EVIDENCE 1 Convolutional aggregation of local evidence for large pose face alignment
Methods for unconstrained face alignment must satisfy two requirements: they must not rely on accurate initialisation/face detection and they should perform equally well for the whole spectrum of facial poses. To the best of our knowledge, there are no methods meeting these requirements to satisfactory extent, and in this paper, we propose Convolutional Aggregation of Local Evidence (CALE), a C...
متن کاملGenre Document Classification Using Flexible Length Phrases
In this paper we investigate possibility of using phrases of flexible length in genre classification of textual documents as an extension to classic bag of words document representation where documents are represented using single words as features. The investigation is conducted on collection of articles from document database collected from three different sources representing different genre...
متن کاملFeature Reduction for Document Clustering and Classification
Often users receive search results which contain a wide range of documents, only some of which are relevant to their information needs. To address this problem, ever more systems not only locate information for users, but also organise that information on their behalf. We look at two main automatic approaches to information organisation: interactive clustering of search results and pre-categori...
متن کاملFeature Set Reduction for Document Classification Problems
With a growing amount of electronic documents available, there is a need to classify documents automatically. In growing text classification applications, important-term selection is a critical task for the classifier performance. Although many different techniques and heuristics have been developed, this paper shows that many of them are just a sub-set of more advanced methods originating in t...
متن کاملLocal-feature-map Integration Using Convolutional Neural Networks for Music Genre Classification
A map-based approach, which treats 2-dimensional acoustic features using image analysis, has recently attracted attention in music genre classification. While this is successful at extracting local music-patterns compared with other frame-based methods, in most works the extracted features are not sufficient for music genre classification. In this paper, we focus on appropriate feature extracti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Algorithms
سال: 2018
ISSN: 1999-4893
DOI: 10.3390/a11080109