Search
Search Results
-
Smooth adversarial examples
This paper investigates the visual quality of the adversarial examples. Recent papers propose to smooth the perturbations to get rid of high...
-
Interactive Learning for Multimedia at Large
Interactive learning has been suggested as a key method for addressing analytic multimedia tasks arising in several domains. Until recently, however,... -
Integration of Exploration and Search: A Case Study of the M \(^3\) Model
Effective support for multimedia analytics applications requires exploration and search to be integrated seamlessly into a single interaction model.... -
Extreme-value-theoretic estimation of local intrinsic dimensionality
This paper is concerned with the estimation of a local measure of intrinsic dimensionality (ID) recently proposed by Houle. The local model can be...
-
Scalability of the NV-tree: Three Experiments
The NV-tree is a scalable approximate high-dimensional indexing method specifically designed for large-scale visual instance search. In this paper,... -
Time Series Retrieval Using DTW-Preserving Shapelets
Dynamic Time Warping (DTW) is a very popular similarity measure used for time series classification, retrieval or clustering. DTW is, however, a... -
Phone-Level Embeddings for Unit Selection Speech Synthesis
Deep neural networks have become the state of the art in speech synthesis. They have been used to directly predict signal parameters or provide... -
Transactional Support for Visual Instance Search
This article addresses the issue of dynamicity and durability for scalable indexing of very large and rapidly growing collections of local features... -
Learning DTW-Preserving Shapelets
Dynamic Time Warping (DTW) is one of the best similarity measures for time series, and it has extensively been used in retrieval, classification or... -
On Competitiveness of Nearest-Neighbor-Based Music Classification: A Methodological Critique
The traditional role of nearest-neighbor classification in music classification research is that of a straw man opponent for the learning approach of... -
MultiMedia Modeling 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part I
The two-volume set LNCS 10132 and 10133 constitutes the thoroughly refereed proceedings of the 23rd International Conference on Multimedia Modeling,...
-
MultiMedia Modeling 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part II
The two-volume set LNCS 10132 and 10133 constitutes the thoroughly refereed proceedings of the 23rd International Conference on Multimedia Modeling,...
-
Similarity Search and Applications 9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016, Proceedings
This book constitutes the proceedings of the 9th International Conference on Similarity Search and Applications, SISAP 2016, held in Tokyo, Japan, in...
-
Sketching Techniques for Very Large Matrix Factorization
Matrix factorization is a prominent technique for approximate matrix reconstruction and noise reduction. Its common appeal is attributed to its space... -
Ten Research Questions for Scalable Multimedia Analytics
The scale and complexity of multimedia collections is ever increasing, as is the desire to harvest useful insight from the collections. To optimally... -
Shaping-Up Multimedia Analytics: Needs and Expectations of Media Professionals
This paper is intended to help clarifying what multimedia analytics encompasses by studying users expectations. As a showcase, we focus on the very... -
A Multi-Dimensional Data Model for Personal Photo Browsing
Digital photo collections—personal, professional, or social—have been growing ever larger, leaving users overwhelmed. It is therefore increasingly... -
M3 + P3 + O3 = Multi-D Photo Browsing
Collections of digital media, personal, professional or social, have been growing ever larger, leaving users overwhelmed with data. Learning from the... -
Improving the efficiency of traditional DTW accelerators
Dynamic time warping (DTW) is the most popular approach for evaluating the similarity of time series, but its computation is costly. Therefore,...