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In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its high-resolution counterpart using a set of training examples. While this formulation resembles other learning-based methods for super-resolution, our method has been inspired by recent manifold teaming methods,(More)
Handwritten signature is the most widely accepted biometric for identity verification. To facilitate objective evaluation and comparison of algorithms in the field of automatic handwritten signature verification, we organized the First International Signature Verification Competition (SVC2004) recently as a step towards establishing common benchmark(More)
BACKGROUND Gastric cancer (GC) is one of the most common malignancy and primary cause of death in Chinese cancer patients. Recurrence is a major factor leading to treatment failure and low level of 5-year survival rate in GC patients following surgical resection. Therefore, identification of biomarkers with potential in predicting recurrence risk is the key(More)
Gastric cancer (GC) is one of the most common malignant tumors worldwide. No fundamental improvements in the five‑year survival rates of patients with GC have been reported due to a low early diagnosis rate. Therefore, the identification of novel biomarkers is urgently required for an early diagnosis of GC. A total of 86 patients were selected for the(More)
Cultured pig aortic smooth muscle cells maintain a viable, quiescent state in a chemically defined medium that contains 10−6 M insulin, 5µg/ml transferrin, and 0.2 mM ascorbate. DNA synthesis and DNA content were determined by measuring tritiated thymidine incorporation and DNA-binding to the fluorescent probe 4′,6-diamidino-2-phenylindole, respectively.(More)
We previously analyzed the microRNA (miRNA) expression pattern in gastric cancer with and without recurrence and obtained 17 differentially expressed miRNAs with potential to predict recurrence risk for GC patients. In the present study, we aimed to investigate recurrence-related genes which may be regulated by the(More)
Clustering problems are central to many knowledge discovery and data mining tasks. However, most existing clustering methods can only work with fixed-dimensional representations of data patterns. In this paper, we study the clustering of data patterns that are represented as sequences or time series possibly of different lengths. We propose a model-based(More)
Colon cancer is the third most common cancer and one of the leading causes of cancer-related death in the world. Therefore, identification of biomarkers with potential in recognizing the biological characteristics is a key problem for early diagnosis of colon cancer patients. In this study, we used a random (More)
Notch signaling controls cellular differentiation and proliferation. Recent studies have shown that Notch signaling plays an important role in the carcinogenesis and progression of a growing number of malignant tumors. We investigated the effect of Notch1 activation on human hepatocellular carcinoma (HCC). In five human(More)