V-A Constraint on a Product of R-parity Violating Couplings

We study in the framework of R-parity violating supersymmetric theories the effect of R-parity violation due to the operator L_i L_j \bar{E_k} on the (V-A) structure of the muon decay. The precisely measured muon decay parameters can constrain a product of R-parity violating couplings: |\lambda_{232}\lambda_{131}| < 0.022 at the 90% CL, which is complementary to the previous limits obtained by the e-\mu universality in \tau decay.Comment: 8 pages, REVTEX, no figure

Jacob Goodman & Co.- Mrs. R. H. Walker, April 2, 1926

Correspondence: Letter from J.D. Goodman, Jacob Goodman & Co., New York, New York, to Rosa G. Holmes Walker, Jacksonville, Florida, regarding enclosed check for one-month security and ren

Jacob Goodman & Co.- R. H. Walker, December 9, 1926

Correspondence: Letter from J.D. Goodman, Jacob Goodman & Co., New York, New York, to Rosa G. Holmes Walker, Jacksonville, Florida, regarding possible sale of property 206 West 122nd Street, New York City. Letter also addresses tenant\u27s ren

The Next Generation of Crystal Detectors

Heavy crystal scintillators are used widely in HEP experiments for precision measurements of photons and electrons. Future HEP experiments, however, require crystal scintillators of more bright, more fast, more radiation hard and less cost. This paper discusses several R&D directions for the next generation of crystal detectors for future HEP experiments.Comment: 5 pages, 2 tables, white paper for the 2013 DPF Snowmass Summer Stud

New and interesting Campylopus records from South Africa

New records are presented based on a collection of Campylopus specimens made by the second author in the Western Cape Province of South Africa. The austral species Campylopus clavatus (R. Brown) Wils. in Hook. and Campylopus vesticaulis Mitt. are reported for the first time for Africa, and Campylopus acuminatus Mitt. var. kirkii (Mitt.) J.-P. Frahm is recorded for the second time for Africa. Campylopus arctocarpus (Hornsch.) Mitt. ssp. madegassus (Besch.) J.-P. Frahm is reported for the first time for the Republic of South Africa, and this is the southernmost record of this species. Campylopus simii Schelpe is not synonymous with C. julaceus Jaeg. ssp. arbogastii (Ren. & Card.) J.-P. Frahm but combined here as new as a variety of C. pilifer Brid

Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN

Discriminative localization is essential for fine-grained image classification task, which devotes to recognizing hundreds of subcategories in the same basic-level category. Reflecting on discriminative regions of objects, key differences among different subcategories are subtle and local. Existing methods generally adopt a two-stage learning framework: The first stage is to localize the discriminative regions of objects, and the second is to encode the discriminative features for training classifiers. However, these methods generally have two limitations: (1) Separation of the two-stage learning is time-consuming. (2) Dependence on object and parts annotations for discriminative localization learning leads to heavily labor-consuming labeling. It is highly challenging to address these two important limitations simultaneously. Existing methods only focus on one of them. Therefore, this paper proposes the discriminative localization approach via saliency-guided Faster R-CNN to address the above two limitations at the same time, and our main novelties and advantages are: (1) End-to-end network based on Faster R-CNN is designed to simultaneously localize discriminative regions and encode discriminative features, which accelerates classification speed. (2) Saliency-guided localization learning is proposed to localize the discriminative region automatically, avoiding labor-consuming labeling. Both are jointly employed to simultaneously accelerate classification speed and eliminate dependence on object and parts annotations. Comparing with the state-of-the-art methods on the widely-used CUB-200-2011 dataset, our approach achieves both the best classification accuracy and efficiency.Comment: 9 pages, to appear in ACM MM 201