37 citations · 95 across the 10 of their papers we have counts for
5 papers · 1 filter
Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings
Pawel Cyrta, Tomasz Trzciński, Wojciech Stokowiec
In this paper we propose a new method of speaker diarization that employs a deep learning architecture to learn speaker embeddings. In contrast to the traditional approaches that b…
Random Binary Trees for Approximate Nearest Neighbour Search in Binary Space
Michal Komorowski, Tomasz Trzcinski
Approximate nearest neighbour (ANN) search is one of the most important problems in computer science fields such as data mining or computer vision. In this paper, we focus on ANN f…
Evaluation of Hashing Methods Performance on Binary Feature Descriptors
Jacek Komorowski, Tomasz Trzcinski
In this paper we evaluate performance of data-dependent hashing methods on binary data. The goal is to find a hashing method that can effectively produce lower dimensional binary r…
Recurrent Neural Networks for Online Video Popularity Prediction
Tomasz Trzcinski, Pawel Andruszkiewicz, Tomasz Bochenski +1
In this paper, we address the problem of popularity prediction of online videos shared in social media. We prove that this challenging task can be approached using recently propose…
Shallow reading with Deep Learning: Predicting popularity of online content using only its title
Wociech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk +2
With the ever decreasing attention span of contemporary Internet users, the title of online content (such as a news article or video) can be a major factor in determining its popul…