Fine-grained maize tassel trait characterization with multi-view representations
暂无分享,去创建一个
Zhiguo Cao | Hao Lu | Yang Xiao | Ke Xian | Zhiwen Fang | Yanjun Zhu | Hao Lu | Yang Xiao | Zhiwen Fang | Ke Xian | ZHIGUO CAO | Y. Zhu
[1] Nguyen Van Hoa,et al. Visualization of the growth process of pruned and trained citrus trees for appropriate cultivation , 2014, SIGGRAPH ASIA Posters.
[2] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[4] Yu Qiao,et al. Large Margin Dimensionality Reduction for Action Similarity Labeling , 2014, IEEE Signal Processing Letters.
[5] Wei Guo,et al. Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model , 2013 .
[6] Zhenghong Yu,et al. An image-based approach for automatic detecting five true-leaves stage of cotton , 2013, Other Conferences.
[7] Andrew Zisserman,et al. Fisher Vector Faces in the Wild , 2013, BMVC.
[8] Zhiguo Cao,et al. Type-2 fuzzy thresholding using GLSC histogram of human visual nonlinearity characteristics. , 2011, Optics express.
[9] Katsushi Ikeuchi,et al. Illumination invariant segmentation of spatio-temporal images by spatio-temporal Markov random field model , 2002, Object recognition supported by user interaction for service robots.
[10] Roland Vencovsky,et al. Estimates of genetic parameters for tosses characters in maize ( zea mays l ) and breeding respectives , 1985 .
[11] S. Ninomiya,et al. Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images , 2015, Plant Methods.
[12] Zhenghong Yu,et al. Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage , 2013 .
[13] Sanjiv Singh,et al. Automated Visual Yield Estimation in Vineyards , 2014, J. Field Robotics.
[14] Zhenghong Yu,et al. An image-based approach for automatic detecting tasseling stage of maize using spatio-temporal saliency , 2013, Other Conferences.
[15] Dorian Q. Fuller,et al. The nature of selection during plant domestication , 2009, Nature.
[16] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[17] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[18] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Daren Yu,et al. Large Margin Dimensionality Reduction for Time Series , 2010, 2010 First International Conference on Pervasive Computing, Signal Processing and Applications.
[20] Rodomiro Ortiz,et al. Phenotypic diversity for morphological and agronomic characteristics in chickpea core collection , 2002, Euphytica.
[21] Andrew Zisserman,et al. The devil is in the details: an evaluation of recent feature encoding methods , 2011, BMVC.
[22] Won Suk Lee,et al. Green citrus detection using 'eigenfruit', color and circular Gabor texture features under natural outdoor conditions , 2011 .
[23] Jiwang Zhang,et al. Root growth, available soil water, and water-use efficiency of winter wheat under different irrigation regimes applied at different growth stages in North China , 2010 .
[24] A. Molina,et al. Genetic Diversity in Cultivated Common Bean: II. Marker‐Based Analysis of Morphological and Agronomic Traits , 1991 .
[25] Mark W. Schmidt,et al. A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets , 2012, NIPS.
[26] Achim Walter,et al. Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach , 2015, Plant Methods.
[27] Erin E. Blankenship,et al. Critical period for weed control: the concept and data analysis , 2002, Weed Science.
[28] Marcel Tresanchez,et al. Definition of Linear Color Models in the RGB Vector Color Space to Detect Red Peaches in Orchard Images Taken under Natural Illumination , 2012, Sensors.
[29] James M. Rehg,et al. CENTRIST: A Visual Descriptor for Scene Categorization , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Hilla Peretz,et al. The , 1966 .
[31] Thomas Deselaers,et al. What is an object? , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[32] Robin Gebbers,et al. Precision Agriculture and Food Security , 2010, Science.
[33] Mansour Ebrahimi,et al. Determining the Most Important Physiological and Agronomic Traits Contributing to Maize Grain Yield through Machine Learning Algorithms: A New Avenue in Intelligent Agriculture , 2014, PloS one.
[34] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[35] Ismail Kavdir,et al. Detecting corn tassels using computer vision and support vector machines , 2014, Expert Syst. Appl..
[36] L. Xiong,et al. Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice , 2014, Nature Communications.
[37] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[38] Jianxin Wu,et al. mCENTRIST: A Multi-Channel Feature Generation Mechanism for Scene Categorization , 2014, IEEE Transactions on Image Processing.
[39] R. J. Lambert,et al. Leaf Angle, Tassel Morphology, and the Performance of Maize Hybrids1 , 1978 .
[40] J. Woolliams,et al. What is Genetic Diversity , 2007 .
[41] Minzan Li,et al. Corn tassel detection based on image processing , 2011, International Workshop on Image Processing and Optical Engineering.
[42] Cristian Sminchisescu,et al. Semantic Segmentation with Second-Order Pooling , 2012, ECCV.
[43] Cecilia Di Ruberto,et al. Recognition of shapes by attributed skeletal graphs , 2004, Pattern Recognit..
[44] Zhi-Hua Zhou,et al. Ensemble Methods: Foundations and Algorithms , 2012 .
[45] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[46] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[47] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[48] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[49] Gonzalo Pajares,et al. Automatic detection of crop rows in maize fields with high weeds pressure , 2012, Expert Syst. Appl..
[50] Friedhelm Schwenker,et al. Ensemble Methods: Foundations and Algorithms [Book Review] , 2013, IEEE Computational Intelligence Magazine.