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We describe a mixture density propagation algorithm to estimate 3D human motion in monocular video sequences based on observations encoding the appearance of image silhouettes. Our approach is discriminative rather than generative, therefore it does not require the probabilistic inversion of a predictive observation model. Instead, it uses a large human(More)
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are prone to failures when the underlying feature distribution assumptions are invalid. Active Shape Models (ASMs), on the other hand, are based on learning, and thus require fewer(More)
This paper presents our joint research efforts on big data benchmarking with several industrial partners. Considering the complexity, diversity, workload churns, and rapid evolution of big data systems, we take an incre-mental approach in big data benchmarking. For the first step, we pay attention to search engines, which are the most important domain in(More)
A large volume of honey bee (Apis mellifera) tag-seq was obtained to identify differential gene expression via Solexa/lllumina Digital Gene Expression tag profiling (DGE) based on next generation sequencing. In total, 4,286,250 (foragers) and 3,422,327 (nurses) clean tags were sequenced, 24,568 (foragers) and 13,134 (nurses) distinct clean tags could not be(More)
We describe a mixture density propagation algorithm to estimate 3D human motion in monocular video sequences, based on observations encoding the appearance of image silhouettes. Our approach is discrimi-native rather than generative, therefore it does not require the probabilistic inversion of a predictive observation model. Instead, it uses a large human(More)
We present a conditional temporal probabilistic framework for reconstructing 3D human motion in monocular video based on descriptors encoding image silhouette observations. For computational efficiency we restrict visual inference to low-dimensional kernel induced non-linear state spaces. Our methodology (kBME) combines kernel PCA-based non-linear(More)
For many clinical studies in cancer, germline DNA is prospectively collected for the purpose of discovering or validating single-nucleotide polymorphisms (SNPs) associated with clinical outcomes. The primary clinical endpoint for many of these studies are time-to-event outcomes such as time of death or disease progression which are subject to censoring(More)
The darkling beetle, also known as the lesser mealworm (Alphitobius diaperinus Panzer, Coleoptera: Tenebrionidae), exhibits a cosmopolitan distribution in poultry houses and piggeries (McAllister et al. 1995). A. diaperinus originates from sub-Saharan Africa, and this species has adapted to moist and warm poultry facilities (Geden and Hogsette 1994). A.(More)
Small interfering RNAs (siRNAs) silence the expression of specific target genes by mediating RNA interference (RNAi) in mammalian cells. siRNAs have not only been widely used as a valuable tool for functional genomics research, but they also have demonstrated great potential in biomedical therapeutic applications for diseases caused by abnormal gene(More)
PURPOSE To investigate whether and how insulin-like growth factor 1 (IGF-1) mitigates hematopoietic toxicity after total body irradiation. METHODS AND MATERIALS BALB/c mice were irradiated with a lethal dose of radiation (7.5 Gy) and treated with IGF-1 at a dose of 100 μg/dose intravenously once a day for 5 consecutive days starting within 1 hour after(More)