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20102026
most citedDomain Adaptive Neural Networks for Object Recognition

94 citations · 404 across the 41 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

eess.AS2017★ 2 cited

Wavenet based low rate speech coding

W. Bastiaan Kleijn, Felicia S. C. Lim, Alejandro Luebs +4

Traditional parametric coding of speech facilitates low rate but provides poor reconstruction quality because of the inadequacy of the model used. We describe how a WaveNet generat…

math.OC2017★ 4 cited

On Relationship between Primal-Dual Method of Multipliers and Kalman Filter

Guoqiang Zhang, W. Bastiaan Kleijn, Richard Heusdens

Recently the primal-dual method of multipliers (PDMM), a novel distributed optimization method, was proposed for solving a general class of decomposable convex optimizations over g…

cs.SD2017★ 60 cited

An evaluation of intrusive instrumental intelligibility metrics

Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks

Instrumental intelligibility metrics are commonly used as an alternative to listening tests. This paper evaluates 12 monaural intrusive intelligibility metrics: SII, HEGP, CSII, HA…

cs.SD2017★ 46 cited

An instrumental intelligibility metric based on information theory

Steven Van Kuyk, W. Bastiaan Kleijn, Richard C. Hendriks

We propose a monaural intrusive instrumental intelligibility metric called speech intelligibility in bits (SIIB). SIIB is an estimate of the amount of information shared between a…

math.OC2017★ 1 cited

Derivation and Analysis of the Primal-Dual Method of Multipliers Based on Monotone Operator Theory

Thomas Sherson, Richard Heusdens, W. Bastiaan Kleijn

In this paper we present a novel derivation for an existing node-based algorithm for distributed optimisation termed the primal-dual method of multipliers (PDMM). In contrast to it…

cs.CV2017★ 6 cited

Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval

Peng Xu, Qiyue Yin, Yongye Huang +6

Sketch-based image retrieval (SBIR) is challenging due to the inherent domain-gap between sketch and photo. Compared with pixel-perfect depictions of photos, sketches are iconic re…