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Unconstrained Facial Images: Database for Face Recognition Under Real-World Conditions
TLDR
The objective of this paper is to introduce a novel face database that contains images extracted from real photographs acquired by reporters of a news agency. Expand
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Automatic face recognition system based on the SIFT features
TLDR
We proposed, implemented and evaluated the fully automatic face recognition system which will be used to annotate photographs during insertion into a database. Expand
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Novel Matching Methods for Automatic Face Recognition Using SIFT
TLDR
The object of interest of this paper is Automatic face recognition (AFR). Expand
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LBP features for breast cancer detection
  • P. Král, Ladislav Lenc
  • Computer Science
  • IEEE International Conference on Image Processing…
  • 19 August 2016
TLDR
This paper presents a novel method for breast cancer detection from mammographic images based on Local Binary Patterns (LBP). Expand
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Training Strategies for OCR Systems for Historical Documents
TLDR
This paper presents an overview of training strategies for optical character recognition of historical documents using synthetic data and its combination with a real annotated dataset. Expand
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On the effects of using word2vec representations in neural networks for dialogue act recognition
TLDR
We propose in this work a new deep neural network that explores recurrent models to capture word sequences within sentences, and further study the impact of pretrained word embeddings. Expand
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Automatically Detected Feature Positions for LBP Based Face Recognition
TLDR
This paper presents a novel approach for automatic face recognition based on the Local Binary Patterns (LBP). Expand
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Detecting Stance in Czech News Commentaries
TLDR
This paper describes our system created to detect stance in online discussions. Expand
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Two-Level Neural Network for Multi-label Document Classification
TLDR
We propose a novel neural network which is composed of two sub-nets: the first one estimates the scores for all classes, while the second one determines the number of classes assigned to the document. Expand
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Deep Neural Networks for Czech Multi-label Document Classification
TLDR
This paper is focused on automatic multi-label document classification of Czech text documents. Expand
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