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The NASA dual-frequency, dual-polarization, Doppler radar (D3R) is a weather radar operating at 13.91 GHz (Ku-band) and 35.56 GHz (Ka-band). The operational range of the D3R is 40 km, this relatively short operating range, along with the high sensitivity of D3R, are susceptible to increased observation of range ambiguous echoes, also referred to as “second-trip echoes”. In this work, by leveraging...
Higher dropout and failure rates among computer science students in introductory programming courses tend to be a norm for many institutions. Years of evidence indicate that dropouts and failures persist in spite of advancements in pedagogy, technology, and teacher training. Most advancements have relied on summative assessments and of late formative assessments. This research explores assessments...
We propose a principled approach for the learning of causal conditions from actions and activities taking place in the physical environment through visual input. Causal conditions are the preconditions that must exist before a certain effect can ensue. We propose to consider diachronic and synchronic causal conditions separately for the learning of causal knowledge. Diachronic condition captures the...
This paper addresses the problem of joint source and channel coding for 3-D video coding and transmission. Firstly, we formulate a packet-level joint texture and depth coding mode selection framework for error-resilient source coding using Lagrange multiplier. Then, we evolve to the more general formulation that jointly optimizes error-resilient source coding and channel coding for texture and depth...
Personalized recommendation aims to use the historical behavior of users to recommend new items that are likely to be of interest to them. Due to a tiny improvement of it can lead to a huge profits, lots of giant e-commerce companies, such as Amazon, Alibaba and eBay, have put their great effort on this field. In this paper, we formulate the problem of personalized recommendation as a tree based regression...
Emerging high-efficiency video coding (HEVC) outperforms H.264 by a gain of 50% bitrate reduction while maintaining almost the same perceptual quality. However, it induces higher coding complexity due to its adoption of recursive block partitioning mechanism in motion estimation (ME) with a fixed search range. For an objective of reducing the computational burden in HEVC, this paper proposes an adaptive...
Lenslet images that record both spatial and angular light radiance in a super high definition with distinct macropixel structures desire efficient compression methods for promoting the applications of handheld plenoptic cameras urgently. In this paper, a lenslet image compression method is proposed. First, a reversible image reshaping and adaptive interpolation is proposed to align the macropixel...
Facial analysis plays very important role in many vision applications, such as authentication and entertainments. The very early works in the 1990s mostly focus on estimating geometric deformations of facial landmarks to address this task. While in the past several years, more and more efforts have been made to directly learn an appearance regression for facial analysis. Though training regressions...
This paper investigates the Gaussian state-dependent Z-interference channel (Z-IC), in which two receivers are corrupted respectively by two correlated states that are noncausally known to transmitters and unknown to receivers. Three interference regimes are studied, and the capacity region or sum capacity boundary is characterized either fully or partially under various channel parameters. The impact...
Motivated by the question of whether the recently introduced Reduced Cutset Coding (RCC) [1], [2] offers rate-complexity performance benefits over conventional context-based conditional lossless coding for sources with two-dimensional Markov structure, this paper compares several row-centric coding strategies that vary in the amount of conditioning as well as whether a model or an empirical table...
It was first observed by John Bell that quantum theory predicts correlations between measurement outcomes that lie beyond the explanatory power of local hidden variable theories. These correlations have traditionally been studied extensively in the probabilistic framework. A drawback of this perspective is that one is then forced to use in a single argument the outcomes of mutually-exclusive measurements...
Typical neuroimaging studies analyze associations between physiological or behavioral traits and brain structure or function. Some rely on predicting these scores from neuroimaging data. To explain association between brain features and multiple traits, reduced-rank regression (RRR) models are often used, such as canonical correlation analysis (CCA) and partial least squares (PLS). These methods estimate...
This article offers a method of structural representation of telemetry data, based on displaying the original data onto plane or torus. Such method allows potentially detect the implicit correlation dependences both in single data frame and in sequence of such frames. It offers algorithms of compression based on displaying the original data, represented as bit-form, onto the surface of plane or torus...
High Efficient Video Coding (HEVC) improves coding efficiency but suffers from high computational complexity due to its quad-tree partitioning structure in motion estimation (ME). In recent development of 3D video technology, depth map from the 3D video provides an intimation of the objects' distance from the projected screen in a 3D scene, which inspires the authors to explore the adaptive search...
In-loop filters are widely employed in video coding standards to improve coding efficiency by reducing quantization noise. However, only local spatial correlation of video frames is exploited in existing in-loop filters, which limits the improvement of video coding efficiency. In this paper, a higher order transform domain filter (HOTDF) is proposed to further reduce quantization noise. The filter...
Multi-target stimulus coding plays an important role in a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). In conventional SSVEP-based BCIs, a large interval between two neighboring stimulus frequencies is often used to improve classification accuracy. Although recent progresses in stimulus coding and target identification methods that have significantly improved...
In this paper, we exploit the intrinsic relation between different adjective labels and develop a novel multilabel dictionary learning and sparse coding method which is improved by introducing the structured output association information. Such a method makes use of the label correlation information and is more suitable for the multi-label tactile understanding task. In addition, we develop a globally-convergent...
In this paper, we address the problem of conditional modality learning, whereby one is interested in generating one modality given the other. While it is straightforward to learn a joint distribution over multiple modalities using a deep multi-modal architecture, we observe that such models are not very effective at conditional generation. Hence, we address the problem by learning conditional distributions...
Peer code review and continuous integration often interleave with each other in the modern software quality management. Although several studies investigate how non-technical factors (e.g., reviewer workload), developer participation and even patch size affect the code review process, the impact of continuous integration on code reviews is not yet properly understood. In this paper, we report an exploratory...
Biometrie based authentication system authenticates an individual on the basis of biometrie template stored during enrolment. As the biometric features are immutable, therefore a security concern about the stored biometric template arises. Fingerprint fuzzy vault is a cryptographic construct securing the biometric template and allowing error tolerant fingerprint based authentication. In this paper,...
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